diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml
index 30e705e..17f9154 100644
--- a/.github/workflows/checks.yml
+++ b/.github/workflows/checks.yml
@@ -18,5 +18,7 @@ jobs:
       - uses: actions/checkout@v3
       - name: Build
         run: cargo build --verbose
+      - name: Build Test Data
+        run: cd tests/data && bash build.bash
       - name: Run tests
         run: cargo test --verbose
diff --git a/.gitignore b/.gitignore
index cadeea2..ab77253 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,6 +3,6 @@
 /tmp
 /run_1k
 /benchmark
+/debug_jsons
 traces_debug.csv
 pseudoscans_debug.json
-
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index fd16ba2..cab56ae 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,6 +1,10 @@
 # See https://pre-commit.com for more information
 # See https://pre-commit.com/hooks.html for more hooks
 repos:
+-   repo: https://github.com/EmbarkStudios/cargo-deny
+    rev: 0.14.16 # choose your preferred tag
+    hooks:
+    - id: cargo-deny
 -   repo: https://github.com/pre-commit/pre-commit-hooks
     rev: v3.2.0
     hooks:
@@ -8,3 +12,11 @@ repos:
     -   id: end-of-file-fixer
     -   id: check-yaml
     -   id: check-added-large-files
+-   repo: local
+    hooks:
+    -   id: rustfmt
+        name: rustfmt
+        description: Check if all files follow the rustfmt style
+        entry: cargo +nightly fmt --all -- --check --color always
+        language: system
+        pass_filenames: false
diff --git a/Cargo.lock b/Cargo.lock
index 828d727..887387a 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -3,116 +3,10 @@
 version = 3
 
 [[package]]
-name = "ab_glyph"
-version = "0.2.26"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2e53b0a3d5760cd2ba9b787ae0c6440ad18ee294ff71b05e3381c900a7d16cfd"
-dependencies = [
- "ab_glyph_rasterizer",
- "owned_ttf_parser",
-]
-
-[[package]]
-name = "ab_glyph_rasterizer"
-version = "0.1.8"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c71b1793ee61086797f5c80b6efa2b8ffa6d5dd703f118545808a7f2e27f7046"
-
-[[package]]
-name = "accesskit"
-version = "0.12.3"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "74a4b14f3d99c1255dcba8f45621ab1a2e7540a0009652d33989005a4d0bfc6b"
-dependencies = [
- "enumn",
- "serde",
-]
-
-[[package]]
-name = "accesskit_consumer"
-version = "0.16.1"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8c17cca53c09fbd7288667b22a201274b9becaa27f0b91bf52a526db95de45e6"
-dependencies = [
- "accesskit",
-]
-
-[[package]]
-name = "accesskit_macos"
-version = "0.10.1"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cd3b6ae1eabbfbced10e840fd3fce8a93ae84f174b3e4ba892ab7bcb42e477a7"
-dependencies = [
- "accesskit",
- "accesskit_consumer",
- "objc2 0.3.0-beta.3.patch-leaks.3",
- "once_cell",
-]
-
-[[package]]
-name = "accesskit_unix"
-version = "0.6.2"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "09f46c18d99ba61ad7123dd13eeb0c104436ab6af1df6a1cd8c11054ed394a08"
-dependencies = [
- "accesskit",
- "accesskit_consumer",
- "async-channel",
- "async-once-cell",
- "atspi",
- "futures-lite 1.13.0",
- "once_cell",
- "serde",
- "zbus",
-]
-
-[[package]]
-name = "accesskit_windows"
-version = "0.15.1"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "afcae27ec0974fc7c3b0b318783be89fd1b2e66dd702179fe600166a38ff4a0b"
-dependencies = [
- "accesskit",
- "accesskit_consumer",
- "once_cell",
- "paste",
- "static_assertions",
- "windows 0.48.0",
-]
-
-[[package]]
-name = "accesskit_winit"
-version = "0.15.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "88e39fcec2e10971e188730b7a76bab60647dacc973d4591855ebebcadfaa738"
-dependencies = [
- "accesskit",
- "accesskit_macos",
- "accesskit_unix",
- "accesskit_windows",
- "winit",
-]
-
-[[package]]
-name = "addr2line"
-version = "0.21.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8a30b2e23b9e17a9f90641c7ab1549cd9b44f296d3ccbf309d2863cfe398a0cb"
-dependencies = [
- "gimli 0.28.1",
-]
-
-[[package]]
-name = "adler"
-version = "1.0.2"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f26201604c87b1e01bd3d98f8d5d9a8fcbb815e8cedb41ffccbeb4bf593a35fe"
-
-[[package]]
-name = "adler32"
-version = "1.2.0"
+name = "adler2"
+version = "2.0.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "aae1277d39aeec15cb388266ecc24b11c80469deae6067e17a1a7aa9e5c1f234"
+checksum = "512761e0bb2578dd7380c6baaa0f4ce03e84f95e960231d1dec8bf4d7d6e2627"
 
 [[package]]
 name = "ahash"
@@ -124,7 +18,6 @@ dependencies = [
  "const-random",
  "getrandom",
  "once_cell",
- "serde",
  "version_check",
  "zerocopy",
 ]
@@ -153,36 +46,6 @@ dependencies = [
  "alloc-no-stdlib",
 ]
 
-[[package]]
-name = "allocator-api2"
-version = "0.2.18"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5c6cb57a04249c6480766f7f7cef5467412af1490f8d1e243141daddada3264f"
-
-[[package]]
-name = "android-activity"
-version = "0.4.3"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "64529721f27c2314ced0890ce45e469574a73e5e6fdd6e9da1860eb29285f5e0"
-dependencies = [
- "android-properties",
- "bitflags 1.3.2",
- "cc",
- "jni-sys",
- "libc",
- "log",
- "ndk",
- "ndk-context",
- "ndk-sys",
- "num_enum 0.6.1",
-]
-
-[[package]]
-name = "android-properties"
-version = "0.2.2"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fc7eb209b1518d6bb87b283c20095f5228ecda460da70b44f0802523dea6da04"
-
 [[package]]
 name = "android-tzdata"
 version = "0.1.1"
@@ -200,9 +63,9 @@ dependencies = [
 
 [[package]]
 name = "anstream"
-version = "0.6.14"
+version = "0.6.15"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "418c75fa768af9c03be99d17643f93f79bbba589895012a80e3452a19ddda15b"
+checksum = "64e15c1ab1f89faffbf04a634d5e1962e9074f2741eef6d97f3c4e322426d526"
 dependencies = [
  "anstyle",
  "anstyle-parse",
@@ -215,103 +78,38 @@ dependencies = [
 
 [[package]]
 name = "anstyle"
-version = "1.0.7"
+version = "1.0.8"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "038dfcf04a5feb68e9c60b21c9625a54c2c0616e79b72b0fd87075a056ae1d1b"
+checksum = "1bec1de6f59aedf83baf9ff929c98f2ad654b97c9510f4e70cf6f661d49fd5b1"
 
 [[package]]
 name = "anstyle-parse"
-version = "0.2.4"
+version = "0.2.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c03a11a9034d92058ceb6ee011ce58af4a9bf61491aa7e1e59ecd24bd40d22d4"
+checksum = "eb47de1e80c2b463c735db5b217a0ddc39d612e7ac9e2e96a5aed1f57616c1cb"
 dependencies = [
  "utf8parse",
 ]
 
 [[package]]
 name = "anstyle-query"
-version = "1.0.3"
+version = "1.1.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a64c907d4e79225ac72e2a354c9ce84d50ebb4586dee56c82b3ee73004f537f5"
+checksum = "6d36fc52c7f6c869915e99412912f22093507da8d9e942ceaf66fe4b7c14422a"
 dependencies = [
  "windows-sys 0.52.0",
 ]
 
 [[package]]
 name = "anstyle-wincon"
-version = "3.0.3"
+version = "3.0.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "61a38449feb7068f52bb06c12759005cf459ee52bb4adc1d5a7c4322d716fb19"
+checksum = "5bf74e1b6e971609db8ca7a9ce79fd5768ab6ae46441c572e46cf596f59e57f8"
 dependencies = [
  "anstyle",
  "windows-sys 0.52.0",
 ]
 
-[[package]]
-name = "anyhow"
-version = "1.0.86"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b3d1d046238990b9cf5bcde22a3fb3584ee5cf65fb2765f454ed428c7a0063da"
-
-[[package]]
-name = "apache-avro"
-version = "0.16.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ceb7c683b2f8f40970b70e39ff8be514c95b96fcb9c4af87e1ed2cb2e10801a0"
-dependencies = [
- "digest",
- "lazy_static",
- "libflate",
- "log",
- "num-bigint",
- "quad-rand",
- "rand",
- "regex-lite",
- "serde",
- "serde_json",
- "strum 0.25.0",
- "strum_macros 0.25.3",
- "thiserror",
- "typed-builder",
- "uuid",
-]
-
-[[package]]
-name = "arboard"
-version = "3.4.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9fb4009533e8ff8f1450a5bcbc30f4242a1d34442221f72314bea1f5dc9c7f89"
-dependencies = [
- "clipboard-win",
- "core-graphics 0.23.2",
- "image 0.25.1",
- "log",
- "objc2 0.5.2",
- "objc2-app-kit",
- "objc2-foundation",
- "parking_lot",
- "windows-sys 0.48.0",
- "x11rb",
-]
-
-[[package]]
-name = "array-init"
-version = "2.1.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3d62b7694a562cdf5a74227903507c56ab2cc8bdd1f781ed5cb4cf9c9f810bfc"
-
-[[package]]
-name = "array-init-cursor"
-version = "0.2.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "bf7d0a018de4f6aa429b9d33d69edf69072b1c5b1cb8d3e4a5f7ef898fc3eb76"
-
-[[package]]
-name = "arrayvec"
-version = "0.7.4"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "96d30a06541fbafbc7f82ed10c06164cfbd2c401138f6addd8404629c4b16711"
-
 [[package]]
 name = "arrow-array"
 version = "42.0.0"
@@ -324,7 +122,7 @@ dependencies = [
  "arrow-schema",
  "chrono",
  "half",
- "hashbrown 0.14.5",
+ "hashbrown",
  "num",
 ]
 
@@ -367,16 +165,6 @@ dependencies = [
  "num",
 ]
 
-[[package]]
-name = "arrow-format"
-version = "0.8.1"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "07884ea216994cdc32a2d5f8274a8bee979cfe90274b83f86f440866ee3132c7"
-dependencies = [
- "planus",
- "serde",
-]
-
 [[package]]
 name = "arrow-ipc"
 version = "42.0.0"
@@ -411,7194 +199,1506 @@ dependencies = [
 ]
 
 [[package]]
-name = "arrow2"
-version = "0.17.4"
+name = "autocfg"
+version = "1.3.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "59c468daea140b747d781a1da9f7db5f0a8e6636d4af20cc539e43d05b0604fa"
-dependencies = [
- "ahash",
- "arrow-format",
- "bytemuck",
- "chrono",
- "comfy-table",
- "dyn-clone",
- "either",
- "ethnum",
- "foreign_vec",
- "getrandom",
- "hash_hasher",
- "num-traits",
- "rustc_version",
- "simdutf8",
-]
+checksum = "0c4b4d0bd25bd0b74681c0ad21497610ce1b7c91b1022cd21c80c6fbdd9476b0"
 
 [[package]]
-name = "ash"
-version = "0.37.3+1.3.251"
+name = "base64"
+version = "0.21.7"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "39e9c3835d686b0a6084ab4234fcd1b07dbf6e4767dce60874b12356a25ecd4a"
-dependencies = [
- "libloading 0.7.4",
-]
+checksum = "9d297deb1925b89f2ccc13d7635fa0714f12c87adce1c75356b39ca9b7178567"
 
 [[package]]
-name = "ashpd"
-version = "0.6.8"
+name = "bitflags"
+version = "1.3.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4ac22eda5891cc086690cb6fa10121c0390de0e3b04eb269f2d766b00d3f2d81"
-dependencies = [
- "async-fs 2.1.2",
- "async-net",
- "enumflags2",
- "futures-channel",
- "futures-util",
- "once_cell",
- "rand",
- "serde",
- "serde_repr",
- "url",
- "zbus",
-]
+checksum = "bef38d45163c2f1dde094a7dfd33ccf595c92905c8f8f4fdc18d06fb1037718a"
 
 [[package]]
-name = "async-broadcast"
-version = "0.5.1"
+name = "bitflags"
+version = "2.6.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7c48ccdbf6ca6b121e0f586cbc0e73ae440e56c67c30fa0873b4e110d9c26d2b"
-dependencies = [
- "event-listener 2.5.3",
- "futures-core",
-]
+checksum = "b048fb63fd8b5923fc5aa7b340d8e156aec7ec02f0c78fa8a6ddc2613f6f71de"
 
 [[package]]
-name = "async-channel"
-version = "2.3.1"
+name = "brotli"
+version = "3.5.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "89b47800b0be77592da0afd425cc03468052844aff33b84e33cc696f64e77b6a"
+checksum = "d640d25bc63c50fb1f0b545ffd80207d2e10a4c965530809b40ba3386825c391"
 dependencies = [
- "concurrent-queue",
- "event-listener-strategy 0.5.2",
- "futures-core",
- "pin-project-lite",
+ "alloc-no-stdlib",
+ "alloc-stdlib",
+ "brotli-decompressor",
 ]
 
 [[package]]
-name = "async-executor"
-version = "1.11.0"
+name = "brotli-decompressor"
+version = "2.5.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b10202063978b3351199d68f8b22c4e47e4b1b822f8d43fd862d5ea8c006b29a"
+checksum = "4e2e4afe60d7dd600fdd3de8d0f08c2b7ec039712e3b6137ff98b7004e82de4f"
 dependencies = [
- "async-task",
- "concurrent-queue",
- "fastrand 2.1.0",
- "futures-lite 2.3.0",
- "slab",
+ "alloc-no-stdlib",
+ "alloc-stdlib",
 ]
 
 [[package]]
-name = "async-fs"
-version = "1.6.0"
+name = "bumpalo"
+version = "3.16.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "279cf904654eeebfa37ac9bb1598880884924aab82e290aa65c9e77a0e142e06"
-dependencies = [
- "async-lock 2.8.0",
- "autocfg",
- "blocking",
- "futures-lite 1.13.0",
-]
+checksum = "79296716171880943b8470b5f8d03aa55eb2e645a4874bdbb28adb49162e012c"
 
 [[package]]
-name = "async-fs"
-version = "2.1.2"
+name = "bytemuck"
+version = "1.18.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ebcd09b382f40fcd159c2d695175b2ae620ffa5f3bd6f664131efff4e8b9e04a"
-dependencies = [
- "async-lock 3.3.0",
- "blocking",
- "futures-lite 2.3.0",
-]
+checksum = "94bbb0ad554ad961ddc5da507a12a29b14e4ae5bda06b19f575a3e6079d2e2ae"
 
 [[package]]
-name = "async-io"
-version = "1.13.0"
+name = "byteorder"
+version = "1.5.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0fc5b45d93ef0529756f812ca52e44c221b35341892d3dcc34132ac02f3dd2af"
-dependencies = [
- "async-lock 2.8.0",
- "autocfg",
- "cfg-if",
- "concurrent-queue",
- "futures-lite 1.13.0",
- "log",
- "parking",
- "polling 2.8.0",
- "rustix 0.37.27",
- "slab",
- "socket2 0.4.10",
- "waker-fn",
-]
+checksum = "1fd0f2584146f6f2ef48085050886acf353beff7305ebd1ae69500e27c67f64b"
 
 [[package]]
-name = "async-io"
-version = "2.3.2"
+name = "bytes"
+version = "1.7.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "dcccb0f599cfa2f8ace422d3555572f47424da5648a4382a9dd0310ff8210884"
-dependencies = [
- "async-lock 3.3.0",
- "cfg-if",
- "concurrent-queue",
- "futures-io",
- "futures-lite 2.3.0",
- "parking",
- "polling 3.7.0",
- "rustix 0.38.34",
- "slab",
- "tracing",
- "windows-sys 0.52.0",
-]
+checksum = "428d9aa8fbc0670b7b8d6030a7fadd0f86151cae55e4dbbece15f3780a3dfaf3"
 
 [[package]]
-name = "async-lock"
-version = "2.8.0"
+name = "cc"
+version = "1.1.21"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "287272293e9d8c41773cec55e365490fe034813a2f172f502d6ddcf75b2f582b"
+checksum = "07b1695e2c7e8fc85310cde85aeaab7e3097f593c91d209d3f9df76c928100f0"
 dependencies = [
- "event-listener 2.5.3",
+ "jobserver",
+ "libc",
+ "shlex",
 ]
 
 [[package]]
-name = "async-lock"
-version = "3.3.0"
+name = "cfg-if"
+version = "1.0.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d034b430882f8381900d3fe6f0aaa3ad94f2cb4ac519b429692a1bc2dda4ae7b"
-dependencies = [
- "event-listener 4.0.3",
- "event-listener-strategy 0.4.0",
- "pin-project-lite",
-]
+checksum = "baf1de4339761588bc0619e3cbc0120ee582ebb74b53b4efbf79117bd2da40fd"
 
 [[package]]
-name = "async-net"
-version = "2.0.0"
+name = "chrono"
+version = "0.4.38"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b948000fad4873c1c9339d60f2623323a0cfd3816e5181033c6a5cb68b2accf7"
+checksum = "a21f936df1771bf62b77f047b726c4625ff2e8aa607c01ec06e5a05bd8463401"
 dependencies = [
- "async-io 2.3.2",
- "blocking",
- "futures-lite 2.3.0",
+ "android-tzdata",
+ "iana-time-zone",
+ "num-traits",
+ "windows-targets",
 ]
 
 [[package]]
-name = "async-once-cell"
-version = "0.5.3"
+name = "clap"
+version = "4.5.18"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9338790e78aa95a416786ec8389546c4b6a1dfc3dc36071ed9518a9413a542eb"
+checksum = "b0956a43b323ac1afaffc053ed5c4b7c1f1800bacd1683c353aabbb752515dd3"
+dependencies = [
+ "clap_builder",
+ "clap_derive",
+]
 
 [[package]]
-name = "async-process"
-version = "1.8.1"
+name = "clap_builder"
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+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn 2.0.77",
+ "wasm-bindgen-backend",
+ "wasm-bindgen-shared",
+]
 
 [[package]]
-name = "windows_x86_64_msvc"
-version = "0.52.5"
+name = "wasm-bindgen-shared"
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 source = "registry+https://github.com/rust-lang/crates.io-index"
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 [[package]]
-name = "winit"
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+name = "winapi-util"
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 source = "registry+https://github.com/rust-lang/crates.io-index"
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 dependencies = [
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- "bitflags 1.3.2",
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- "wayland-commons",
- "wayland-protocols",
- "wayland-scanner",
- "web-sys",
- "windows-sys 0.45.0",
- "x11-dl",
+ "windows-sys 0.59.0",
 ]
 
 [[package]]
-name = "winnow"
-version = "0.5.40"
+name = "windows-core"
+version = "0.52.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f593a95398737aeed53e489c785df13f3618e41dbcd6718c6addbf1395aa6876"
+checksum = "33ab640c8d7e35bf8ba19b884ba838ceb4fba93a4e8c65a9059d08afcfc683d9"
 dependencies = [
- "memchr",
+ "windows-targets",
 ]
 
 [[package]]
-name = "winnow"
-version = "0.6.8"
+name = "windows-sys"
+version = "0.52.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c3c52e9c97a68071b23e836c9380edae937f17b9c4667bd021973efc689f618d"
+checksum = "282be5f36a8ce781fad8c8ae18fa3f9beff57ec1b52cb3de0789201425d9a33d"
 dependencies = [
- "memchr",
+ "windows-targets",
 ]
 
 [[package]]
-name = "x11-dl"
-version = "2.21.0"
+name = "windows-sys"
+version = "0.59.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "38735924fedd5314a6e548792904ed8c6de6636285cb9fec04d5b1db85c1516f"
+checksum = "1e38bc4d79ed67fd075bcc251a1c39b32a1776bbe92e5bef1f0bf1f8c531853b"
 dependencies = [
- "libc",
- "once_cell",
- "pkg-config",
+ "windows-targets",
 ]
 
 [[package]]
-name = "x11rb"
-version = "0.13.1"
+name = "windows-targets"
+version = "0.52.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5d91ffca73ee7f68ce055750bf9f6eca0780b8c85eff9bc046a3b0da41755e12"
+checksum = "9b724f72796e036ab90c1021d4780d4d3d648aca59e491e6b98e725b84e99973"
 dependencies = [
- "gethostname",
- "rustix 0.38.34",
- "x11rb-protocol",
+ "windows_aarch64_gnullvm",
+ "windows_aarch64_msvc",
+ "windows_i686_gnu",
+ "windows_i686_gnullvm",
+ "windows_i686_msvc",
+ "windows_x86_64_gnu",
+ "windows_x86_64_gnullvm",
+ "windows_x86_64_msvc",
 ]
 
 [[package]]
-name = "x11rb-protocol"
-version = "0.13.1"
+name = "windows_aarch64_gnullvm"
+version = "0.52.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ec107c4503ea0b4a98ef47356329af139c0a4f7750e621cf2973cd3385ebcb3d"
+checksum = "32a4622180e7a0ec044bb555404c800bc9fd9ec262ec147edd5989ccd0c02cd3"
 
 [[package]]
-name = "xcursor"
-version = "0.3.5"
+name = "windows_aarch64_msvc"
+version = "0.52.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6a0ccd7b4a5345edfcd0c3535718a4e9ff7798ffc536bb5b5a0e26ff84732911"
+checksum = "09ec2a7bb152e2252b53fa7803150007879548bc709c039df7627cabbd05d469"
 
 [[package]]
-name = "xdg-home"
-version = "1.1.0"
+name = "windows_i686_gnu"
+version = "0.52.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "21e5a325c3cb8398ad6cf859c1135b25dd29e186679cf2da7581d9679f63b38e"
-dependencies = [
- "libc",
- "winapi",
-]
+checksum = "8e9b5ad5ab802e97eb8e295ac6720e509ee4c243f69d781394014ebfe8bbfa0b"
 
 [[package]]
-name = "xml-rs"
-version = "0.8.20"
+name = "windows_i686_gnullvm"
+version = "0.52.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "791978798f0597cfc70478424c2b4fdc2b7a8024aaff78497ef00f24ef674193"
+checksum = "0eee52d38c090b3caa76c563b86c3a4bd71ef1a819287c19d586d7334ae8ed66"
 
 [[package]]
-name = "xshell"
-version = "0.2.6"
+name = "windows_i686_msvc"
+version = "0.52.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6db0ab86eae739efd1b054a8d3d16041914030ac4e01cd1dca0cf252fd8b6437"
-dependencies = [
- "xshell-macros",
-]
+checksum = "240948bc05c5e7c6dabba28bf89d89ffce3e303022809e73deaefe4f6ec56c66"
 
 [[package]]
-name = "xshell-macros"
-version = "0.2.6"
+name = "windows_x86_64_gnu"
+version = "0.52.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9d422e8e38ec76e2f06ee439ccc765e9c6a9638b9e7c9f2e8255e4d41e8bd852"
+checksum = "147a5c80aabfbf0c7d901cb5895d1de30ef2907eb21fbbab29ca94c5b08b1a78"
 
 [[package]]
-name = "zbus"
-version = "3.15.2"
+name = "windows_x86_64_gnullvm"
+version = "0.52.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "675d170b632a6ad49804c8cf2105d7c31eddd3312555cffd4b740e08e97c25e6"
-dependencies = [
- "async-broadcast",
- "async-executor",
- "async-fs 1.6.0",
- "async-io 1.13.0",
- "async-lock 2.8.0",
- "async-process",
- "async-recursion",
- "async-task",
- "async-trait",
- "blocking",
- "byteorder",
- "derivative",
- "enumflags2",
- "event-listener 2.5.3",
- "futures-core",
- "futures-sink",
- "futures-util",
- "hex",
- "nix 0.26.4",
- "once_cell",
- "ordered-stream",
- "rand",
- "serde",
- "serde_repr",
- "sha1",
- "static_assertions",
- "tracing",
- "uds_windows",
- "winapi",
- "xdg-home",
- "zbus_macros",
- "zbus_names",
- "zvariant",
-]
+checksum = "24d5b23dc417412679681396f2b49f3de8c1473deb516bd34410872eff51ed0d"
 
 [[package]]
-name = "zbus_macros"
-version = "3.15.2"
+name = "windows_x86_64_msvc"
+version = "0.52.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7131497b0f887e8061b430c530240063d33bf9455fa34438f388a245da69e0a5"
-dependencies = [
- "proc-macro-crate",
- "proc-macro2",
- "quote",
- "regex",
- "syn 1.0.109",
- "zvariant_utils",
-]
+checksum = "589f6da84c646204747d1270a2a5661ea66ed1cced2631d546fdfb155959f9ec"
 
 [[package]]
-name = "zbus_names"
-version = "2.6.1"
+name = "winnow"
+version = "0.6.20"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "437d738d3750bed6ca9b8d423ccc7a8eb284f6b1d6d4e225a0e4e6258d864c8d"
+checksum = "36c1fec1a2bb5866f07c25f68c26e565c4c200aebb96d7e55710c19d3e8ac49b"
 dependencies = [
- "serde",
- "static_assertions",
- "zvariant",
+ "memchr",
 ]
 
 [[package]]
 name = "zerocopy"
-version = "0.7.34"
+version = "0.7.35"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ae87e3fcd617500e5d106f0380cf7b77f3c6092aae37191433159dda23cfb087"
+checksum = "1b9b4fd18abc82b8136838da5d50bae7bdea537c574d8dc1a34ed098d6c166f0"
 dependencies = [
+ "byteorder",
  "zerocopy-derive",
 ]
 
 [[package]]
 name = "zerocopy-derive"
-version = "0.7.34"
+version = "0.7.35"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "15e934569e47891f7d9411f1a451d947a60e000ab3bd24fbb970f000387d1b3b"
+checksum = "fa4f8080344d4671fb4e831a13ad1e68092748387dfc4f55e356242fae12ce3e"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.66",
+ "syn 2.0.77",
 ]
 
-[[package]]
-name = "zeroize"
-version = "1.7.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "525b4ec142c6b68a2d10f01f7bbf6755599ca3f81ea53b8431b7dd348f5fdb2d"
-
 [[package]]
 name = "zstd"
 version = "0.12.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "1a27595e173641171fc74a1232b7b1c7a7cb6e18222c11e9dfb9888fa424c53c"
 dependencies = [
- "zstd-safe",
-]
-
-[[package]]
-name = "zstd-safe"
-version = "6.0.6"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ee98ffd0b48ee95e6c5168188e44a54550b1564d9d530ee21d5f0eaed1069581"
-dependencies = [
- "libc",
- "zstd-sys",
-]
-
-[[package]]
-name = "zstd-sys"
-version = "2.0.10+zstd.1.5.6"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c253a4914af5bafc8fa8c86ee400827e83cf6ec01195ec1f1ed8441bf00d65aa"
-dependencies = [
- "cc",
- "pkg-config",
+ "zstd-safe 6.0.6",
 ]
 
 [[package]]
-name = "zune-core"
-version = "0.4.12"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3f423a2c17029964870cfaabb1f13dfab7d092a62a29a89264f4d36990ca414a"
-
-[[package]]
-name = "zune-jpeg"
-version = "0.4.11"
+name = "zstd"
+version = "0.13.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ec866b44a2a1fd6133d363f073ca1b179f438f99e7e5bfb1e33f7181facfe448"
+checksum = "fcf2b778a664581e31e389454a7072dab1647606d44f7feea22cd5abb9c9f3f9"
 dependencies = [
- "zune-core",
+ "zstd-safe 7.2.1",
 ]
 
 [[package]]
-name = "zvariant"
-version = "3.15.2"
+name = "zstd-safe"
+version = "6.0.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4eef2be88ba09b358d3b58aca6e41cd853631d44787f319a1383ca83424fb2db"
+checksum = "ee98ffd0b48ee95e6c5168188e44a54550b1564d9d530ee21d5f0eaed1069581"
 dependencies = [
- "byteorder",
- "enumflags2",
  "libc",
- "serde",
- "static_assertions",
- "url",
- "zvariant_derive",
+ "zstd-sys",
 ]
 
 [[package]]
-name = "zvariant_derive"
-version = "3.15.2"
+name = "zstd-safe"
+version = "7.2.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "37c24dc0bed72f5f90d1f8bb5b07228cbf63b3c6e9f82d82559d4bae666e7ed9"
+checksum = "54a3ab4db68cea366acc5c897c7b4d4d1b8994a9cd6e6f841f8964566a419059"
 dependencies = [
- "proc-macro-crate",
- "proc-macro2",
- "quote",
- "syn 1.0.109",
- "zvariant_utils",
+ "zstd-sys",
 ]
 
 [[package]]
-name = "zvariant_utils"
-version = "1.0.1"
+name = "zstd-sys"
+version = "2.0.13+zstd.1.5.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7234f0d811589db492d16893e3f21e8e2fd282e6d01b0cddee310322062cc200"
+checksum = "38ff0f21cfee8f97d94cef41359e0c89aa6113028ab0291aa8ca0038995a95aa"
 dependencies = [
- "proc-macro2",
- "quote",
- "syn 1.0.109",
+ "cc",
+ "pkg-config",
 ]
diff --git a/Cargo.toml b/Cargo.toml
index 09556be..7e2ddfb 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -1,41 +1,46 @@
 [package]
 name = "ionmesh"
-version = "0.1.0"
+version = "0.5.0"
 edition = "2021"
 license = "Apache-2.0"
 
 # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
 
 [dependencies]
-timsrust = "0.2.2"
-rusqlite = { version = "0.29.0", features = ["bundled"] }
+timsrust = "= 0.4.1"
 
 # Serialization
-serde = { version = "1.0.193", features = ["derive"] }
-serde_json = "1.0.108"
-apache-avro = "0.16.0"
-rayon = "1.8.0"
-indicatif = {version = "*", features = ["rayon"]}
-
-# for viz feature
-rerun = "0.12.0"
+serde = { version = "1.0.210", features = ["derive"] }
+serde_json = "1.0.128"
+clap = { version = "4.4.17", features = ["derive"] }
+csv = "1.3.0"
+
+# Random ...
 rand = "0.8.5"
 
-log = "0.4"
-pretty_env_logger = "0.4"
+# Paralellization
+rayon = "1.10.0"
+
+# Logging/ Messaging
+indicatif = { version = "*", features = ["rayon"] }
+log = "0.4.22"
+pretty_env_logger = "0.5"
+
+# Q: Not sure if I still use this
 num = "0.4.1"
-num-traits = "0.2.18"
-clap = "4.4.17"
-csv = "1.3.0"
+num-traits = "0.2.19"
 
 # Sage
 sage-core = { git = "https://github.com/lazear/sage.git", rev = "9e870429889b341c4773df32b65e553283301a93" }
-toml = "0.8.8"
+toml = "0.8.19"
 
 [features]
-viz = []
-f64 = []
 par_dataprep = []
+less_parallel = [
+] # Mostly for profiling reasons ... looking at flamegraphs is hard with rayon...
 
-# [profile.release]
+[profile.release]
+lto = "thin"
+panic = "abort"
+# codegen-units = 1
 # debug = true
diff --git a/README.md b/README.md
index 2f545c8..5f0561c 100644
--- a/README.md
+++ b/README.md
@@ -74,8 +74,34 @@ There are a couple of features for development.
 ### Env variables
 ```
 RUST_LOG=info # will change the log level ... levels are standard (info, debug, warn, error, trace)
-DEBUG_TRACES_FROM_CACHE=1 # If set and non empty will load the traces from the cache.
-# It will skip the generation of the traces and will read the file specified on the config. (handy when optimizing the pseudospectra generation)
+RUST_BACKTRACE=1 # will show a backtrace on panic
+RAYON_NUM_THREADS=4 # will set the number of threads to use in rayon
+
+IONMESH_DEBUG_JSON_PATH
+    # Will save some intermeriate results
+    # as json into that dir
+IONMESH_DEBUG_JSON_FREQUENCY
+    # Will control the frequency with which results are saved.
+    # 1 means every iteration, 2 every other, etc.
+    # They are done pseudo-randomly.
+IONMESH_PROFILE_NUM_WINDOWS
+    # Will control the number of frame groups that will be used.
+    # If this is a diapasef run, it means a it will run only X
+    # quad isolation windows. For diagonal, it will run X diagonal
+    # windows.
+```
+
+### Profiling
+
+Mostly notes to self but someone else might benefit ...
+
+```
+# Making a cool flamegraph of a run
+sudo RUST_LOG=debug CARGO_PROFILE_RELEASE_DEBUG=true IONMESH_PROFILE_NUM_WINDOWS=2 \
+    cargo flamegraph \
+    --output flamegraph_secondversion.svg \
+    --features less_parallel \
+    -- --config ./benchmark/default_ionmesh_config.toml benchmark/${MYFAVORITEFILE}.d -o tmp/
 ```
 
 ## Roadmap
@@ -89,12 +115,11 @@ DEBUG_TRACES_FROM_CACHE=1 # If set and non empty will load the traces from the c
 4. Add targeted extraction.
 5. Add detection of MS1 features + notched search instead of wide window search.
 6. Clean up some of the features and decide what aggregation steps use interal paralellism. (in some steps making multiple aggregations in paralle is better than doing parallel operations within the aggregation).
-  - Fix nomenclature ... I dont like how it is not consistent (indexed, indexer, index are using interchangeably ...).
 7. Compilation warning cleanup.
 8. Clean up dead/commented out code.
 9. Refactor `max_extension_distances` argument in the generic dbscan implementation to prevent the errors that might arise from mixing up the dimensions.
     - Should that be a propoerty of the converter?
-10. Commit to f32/f64 in specific places ... instead of the harder to maintain generic types.
+      - There is no longer a converter there ... so nope
 11. Add CICD to distribute the pre-compiled binaries.
 12. Add semver checks to the CICD pipeline.
 13. Add IMS output to the sage report.
@@ -107,4 +132,8 @@ DEBUG_TRACES_FROM_CACHE=1 # If set and non empty will load the traces from the c
 
 ## Where are we at?
 
-- Ids are pretty close to the equivalent DDA runs with the correct parameters ... They do seem good via manual inspection but the number of ids is low compared to peptide-centric searches.
+- Ids are pretty close to the equivalent DDA runs with the correct parameters ...
+   - Emphasis in right parameters ... they do seem to vary quite a bit depending on
+     the intrument/method/sample. I am working on improve this.
+- Spectra quality does seem good via manual inspection but the number of ids
+  is low compared to peptide-centric searches.
diff --git a/deny.toml b/deny.toml
index 854ddb9..ee0e475 100644
--- a/deny.toml
+++ b/deny.toml
@@ -9,7 +9,7 @@
 # The values provided in this template are the default values that will be used
 # when any section or field is not specified in your own configuration
 
-# Root options
+[graph]
 
 # If 1 or more target triples (and optionally, target_features) are specified,
 # only the specified targets will be checked when running `cargo deny check`.
@@ -20,17 +20,17 @@
 # dependencies not shared by any other crates, would be ignored, as the target
 # list here is effectively saying which targets you are building for.
 targets = [
-    { triple = "aarch64-apple-darwin" },
-    { triple = "x86_64-apple-darwin" },
-    { triple = "i686-pc-windows-gnu" },
-    { triple = "i686-pc-windows-msvc" },
-    { triple = "x86_64-pc-windows-gnu" },
-    { triple = "x86_64-pc-windows-msvc" },
-    { triple = "i686-unknown-linux-gnu" },
-    { triple = "x86_64-unknown-linux-gnu" },
-    { triple = "x86_64-unknown-linux-musl" },
-    # { triple = "wasm32-unknown-unknown" },
-    # { triple = "x86_64-unknown-redox" },
+  { triple = "aarch64-apple-darwin" },
+  { triple = "x86_64-apple-darwin" },
+  { triple = "i686-pc-windows-gnu" },
+  { triple = "i686-pc-windows-msvc" },
+  { triple = "x86_64-pc-windows-gnu" },
+  { triple = "x86_64-pc-windows-msvc" },
+  { triple = "i686-unknown-linux-gnu" },
+  { triple = "x86_64-unknown-linux-gnu" },
+  { triple = "x86_64-unknown-linux-musl" },
+  # { triple = "wasm32-unknown-unknown" },
+  # { triple = "x86_64-unknown-redox" },
 ]
 # When creating the dependency graph used as the source of truth when checks are
 # executed, this field can be used to prune crates from the graph, removing them
@@ -50,6 +50,8 @@ no-default-features = false
 # If set, these feature will be enabled when collecting metadata. If `--features`
 # is specified on the cmd line they will take precedence over this option.
 #features = []
+
+[output]
 # When outputting inclusion graphs in diagnostics that include features, this
 # option can be used to specify the depth at which feature edges will be added.
 # This option is included since the graphs can be quite large and the addition
@@ -61,24 +63,18 @@ feature-depth = 1
 # More documentation for the advisories section can be found here:
 # https://embarkstudios.github.io/cargo-deny/checks/advisories/cfg.html
 [advisories]
+version = 2
 # The path where the advisory database is cloned/fetched into
 db-path = "~/.cargo/advisory-db"
 # The url(s) of the advisory databases to use
 db-urls = ["https://github.com/rustsec/advisory-db"]
 # The lint level for security vulnerabilities
-vulnerability = "deny"
-# The lint level for unmaintained crates
-unmaintained = "warn"
-# The lint level for crates that have been yanked from their source registry
 yanked = "warn"
-# The lint level for crates with security notices. Note that as of
-# 2019-12-17 there are no security notice advisories in
-# https://github.com/rustsec/advisory-db
-notice = "warn"
 # A list of advisory IDs to ignore. Note that ignored advisories will still
 # output a note when they are encountered.
 ignore = [
-    #"RUSTSEC-0000-0000",
+  #"RUSTSEC-0000-0000",
+  "RUSTSEC-2023-0086", # Lexical-core -> arrow issue, updated in main in Sept-2024, unreleased.
 ]
 # Threshold for security vulnerabilities, any vulnerability with a CVSS score
 # lower than the range specified will be ignored. Note that ignored advisories
@@ -100,48 +96,20 @@ ignore = [
 # More documentation for the licenses section can be found here:
 # https://embarkstudios.github.io/cargo-deny/checks/licenses/cfg.html
 [licenses]
-# The lint level for crates which do not have a detectable license
-unlicensed = "deny"
+version = 2
 # List of explicitly allowed licenses
 # See https://spdx.org/licenses/ for list of possible licenses
 # [possible values: any SPDX 3.11 short identifier (+ optional exception)].
 allow = [
-    "MIT",
-    "Apache-2.0",
-    "Apache-2.0 WITH LLVM-exception",
-    "CC0-1.0",
-    "BSD-3-Clause",
-    "ISC",
-    "Unicode-DFS-2016",
-    "Zlib",
-    # Thank Jesus for rerun that compiled the following for me...
-    "OFL-1.1",                        # https://spdx.org/licenses/OFL-1.1.html
-    "MPL-2.0",                        # https://www.mozilla.org/en-US/MPL/2.0/FAQ/ - see Q11. Used by webpki-roots on Linux.
-    "OpenSSL",                        # https://www.openssl.org/source/license.html - used on Linux
-    "LicenseRef-UFL-1.0",             # See https://github.com/emilk/egui/issues/2321
-]
-# List of explicitly disallowed licenses
-# See https://spdx.org/licenses/ for list of possible licenses
-# [possible values: any SPDX 3.11 short identifier (+ optional exception)].
-deny = [
-    #"Nokia",
+  "MIT",
+  "Apache-2.0",
+  "Apache-2.0 WITH LLVM-exception",
+  "BSD-3-Clause",
+  "Unicode-DFS-2016",
+  "Zlib",
+  # Thank Jesus for rerun that compiled the following for me...
 ]
-# Lint level for licenses considered copyleft
-copyleft = "deny"
-# Blanket approval or denial for OSI-approved or FSF Free/Libre licenses
-# * both - The license will be approved if it is both OSI-approved *AND* FSF
-# * either - The license will be approved if it is either OSI-approved *OR* FSF
-# * osi - The license will be approved if it is OSI approved
-# * fsf - The license will be approved if it is FSF Free
-# * osi-only - The license will be approved if it is OSI-approved *AND NOT* FSF
-# * fsf-only - The license will be approved if it is FSF *AND NOT* OSI-approved
-# * neither - This predicate is ignored and the default lint level is used
-allow-osi-fsf-free = "neither"
-# Lint level used when no other predicates are matched
-# 1. License isn't in the allow or deny lists
-# 2. License isn't copyleft
-# 3. License isn't OSI/FSF, or allow-osi-fsf-free = "neither"
-default = "deny"
+
 # The confidence threshold for detecting a license from license text.
 # The higher the value, the more closely the license text must be to the
 # canonical license text of a valid SPDX license file.
@@ -149,11 +117,7 @@ default = "deny"
 confidence-threshold = 0.95
 # Allow 1 or more licenses on a per-crate basis, so that particular licenses
 # aren't accepted for every possible crate as with the normal allow list
-exceptions = [
-    # Each entry is the crate and version constraint, and its specific allow
-    # list
-    { allow = ["Zlib"], name = "adler32", version = "*" },
-]
+exceptions = []
 
 # Some crates don't have (easily) machine readable licensing information,
 # adding a clarification entry for it allows you to manually specify the
@@ -182,8 +146,8 @@ license-files = [{ path = "LICENSE", hash = 0xbd0eed23 }]
 # and the crate will be checked normally, which may produce warnings or errors
 # depending on the rest of your configuration
 #license-files = [
-    # Each entry is a crate relative path, and the (opaque) hash of its contents
-    #{ path = "LICENSE", hash = 0xbd0eed23 }
+# Each entry is a crate relative path, and the (opaque) hash of its contents
+#{ path = "LICENSE", hash = 0xbd0eed23 }
 #]
 
 [licenses.private]
@@ -196,7 +160,7 @@ ignore = false
 # is only published to private registries, and ignore is true, the crate will
 # not have its license(s) checked
 registries = [
-    #"https://sekretz.com/registry
+  #"https://sekretz.com/registry
 ]
 
 # This section is considered when running `cargo deny check bans`.
@@ -223,17 +187,17 @@ workspace-default-features = "allow"
 external-default-features = "allow"
 # List of crates that are allowed. Use with care!
 allow = [
-    #{ name = "ansi_term", version = "=0.11.0" },
+  #{ name = "ansi_term", version = "=0.11.0" },
 ]
 # List of crates to deny
 deny = [
-    # Each entry the name of a crate and a version range. If version is
-    # not specified, all versions will be matched.
-    #{ name = "ansi_term", version = "=0.11.0" },
-    #
-    # Wrapper crates can optionally be specified to allow the crate when it
-    # is a direct dependency of the otherwise banned crate
-    #{ name = "ansi_term", version = "=0.11.0", wrappers = [] },
+  # Each entry the name of a crate and a version range. If version is
+  # not specified, all versions will be matched.
+  #{ name = "ansi_term", version = "=0.11.0" },
+  #
+  # Wrapper crates can optionally be specified to allow the crate when it
+  # is a direct dependency of the otherwise banned crate
+  #{ name = "ansi_term", version = "=0.11.0", wrappers = [] },
 ]
 
 # List of features to allow/deny
@@ -260,19 +224,12 @@ deny = [
 #exact = true
 
 # Certain crates/versions that will be skipped when doing duplicate detection.
-skip = [
-    # Following line comes from the rerun repo ...https://github.com/rerun-io/rerun/blob/main/deny.toml
-    { name = "webpki-roots" },      # ureq and tungstenite are on different version 😭
-
-    #{ name = "ansi_term", version = "=0.11.0" },
-]
+skip = []
 # Similarly to `skip` allows you to skip certain crates during duplicate
 # detection. Unlike skip, it also includes the entire tree of transitive
 # dependencies starting at the specified crate, up to a certain depth, which is
 # by default infinite.
-skip-tree = [
-    #{ name = "ansi_term", version = "=0.11.0", depth = 20 },
-]
+skip-tree = []
 
 # This section is considered when running `cargo deny check sources`.
 # More documentation about the 'sources' section can be found here:
@@ -288,12 +245,8 @@ unknown-git = "warn"
 # if not specified. If it is specified but empty, no registries are allowed.
 allow-registry = ["https://github.com/rust-lang/crates.io-index"]
 # List of URLs for allowed Git repositories
-allow-git = []
+allow-git = ["https://github.com/lazear/sage"]
 
 [sources.allow-org]
 # 1 or more github.com organizations to allow git sources for
-github = [""]
-# 1 or more gitlab.com organizations to allow git sources for
-gitlab = [""]
-# 1 or more bitbucket.org organizations to allow git sources for
-bitbucket = [""]
+# github = [""]
diff --git a/rustfmt.toml b/rustfmt.toml
new file mode 100644
index 0000000..dea4d29
--- /dev/null
+++ b/rustfmt.toml
@@ -0,0 +1,11 @@
+
+fn_params_layout = "Vertical"
+match_block_trailing_comma = true
+newline_style = "Unix"
+
+## Unstable features :( require nightly toolchain
+group_imports = "StdExternalCrate"
+imports_granularity = "Module"
+imports_layout = "Vertical"
+format_strings = true
+struct_lit_single_line = false
diff --git a/src/aggregation/aggregators.rs b/src/aggregation/aggregators.rs
new file mode 100644
index 0000000..47eaa6b
--- /dev/null
+++ b/src/aggregation/aggregators.rs
@@ -0,0 +1,270 @@
+use rayon::prelude::*;
+
+use crate::ms::frames::TimsPeak;
+use crate::space::space_generics::AsAggregableAtIndex;
+use crate::utils;
+
+// I Dont really like having this here but I am not sure where else to
+// define it ... since its needed by the aggregation functions
+#[derive(Debug, PartialEq, Clone, Copy)]
+pub enum ClusterLabel<T> {
+    Unassigned,
+    Noise,
+    Cluster(T),
+}
+
+/// A trait for aggregating points into a single point.
+/// This is used for the final step of dbscan.
+///
+/// Types <T,R,S> are:
+/// T: The type of the points to be aggregated.
+/// R: The type of the aggregated point.
+/// S: The type of the aggregator.
+///
+pub trait ClusterAggregator<T, R>: Send + Sync {
+    fn add(
+        &mut self,
+        elem: &T,
+    );
+    fn aggregate(&self) -> R;
+    fn combine(
+        self,
+        other: Self,
+    ) -> Self;
+}
+
+#[derive(Default, Debug)]
+pub struct TimsPeakAggregator {
+    pub cluster_intensity: u64,
+    pub cluster_mz: f64,
+    pub cluster_mobility: f64,
+    pub num_peaks: u64,
+}
+
+impl ClusterAggregator<TimsPeak, TimsPeak> for TimsPeakAggregator {
+    fn add(
+        &mut self,
+        elem: &TimsPeak,
+    ) {
+        let f64_intensity = elem.intensity as f64;
+        debug_assert!((elem.intensity as u64) < (u64::MAX - self.cluster_intensity));
+        self.cluster_intensity += elem.intensity as u64;
+        self.cluster_mz += elem.mz * f64_intensity;
+        self.cluster_mobility += (elem.mobility as f64) * f64_intensity;
+        self.num_peaks += 1;
+    }
+
+    fn aggregate(&self) -> TimsPeak {
+        let cluster_mz = self.cluster_mz / self.cluster_intensity as f64;
+        let cluster_mobility = self.cluster_mobility / self.cluster_intensity as f64;
+        TimsPeak {
+            intensity: self.cluster_intensity as u32,
+            mz: cluster_mz,
+            mobility: cluster_mobility as f32,
+            npeaks: self.num_peaks as u32,
+        }
+    }
+
+    fn combine(
+        self,
+        other: Self,
+    ) -> Self {
+        Self {
+            cluster_intensity: self.cluster_intensity + other.cluster_intensity,
+            cluster_mz: self.cluster_mz + other.cluster_mz,
+            cluster_mobility: self.cluster_mobility + other.cluster_mobility,
+            num_peaks: self.num_peaks + other.num_peaks,
+        }
+    }
+}
+
+pub fn aggregate_clusters<
+    T: Send + Clone + Copy,
+    RE: AsAggregableAtIndex<T> + Sync + Send + ?Sized,
+    G: Sync + Send + ClusterAggregator<T, R>,
+    R: Send,
+    F: Fn() -> G + Send + Sync,
+>(
+    tot_clusters: u64,
+    cluster_labels: Vec<ClusterLabel<u64>>,
+    elements: &RE,
+    def_aggregator: &F,
+    log_level: utils::LogLevel,
+    keep_unclustered: bool,
+) -> Vec<R> {
+    let cluster_vecs: Vec<G> = if cfg!(feature = "par_dataprep") {
+        parallel_aggregate_clusters(
+            tot_clusters,
+            cluster_labels,
+            elements,
+            def_aggregator,
+            log_level,
+            keep_unclustered,
+        )
+    } else {
+        serial_aggregate_clusters(
+            tot_clusters,
+            cluster_labels,
+            elements,
+            def_aggregator,
+            keep_unclustered,
+        )
+    };
+
+    let mut timer =
+        utils::ContextTimer::new("dbscan_generic::aggregation", true, utils::LogLevel::TRACE);
+    let out = cluster_vecs
+        .par_iter()
+        .map(|cluster| cluster.aggregate())
+        .collect::<Vec<_>>();
+    timer.stop(true);
+
+    out
+}
+
+fn parallel_aggregate_clusters<
+    T: Send + Clone + Copy,
+    RE: AsAggregableAtIndex<T> + Sync + Send + ?Sized,
+    G: Sync + Send + ClusterAggregator<T, R>,
+    R: Send,
+    F: Fn() -> G + Send + Sync,
+>(
+    tot_clusters: u64,
+    cluster_labels: Vec<ClusterLabel<u64>>,
+    elements: &RE,
+    def_aggregator: &F,
+    log_level: utils::LogLevel,
+    keep_unclustered: bool,
+) -> Vec<G> {
+    let mut timer = utils::ContextTimer::new("dbscan_generic::par_aggregation", true, log_level);
+    let out: Vec<(usize, T)> = cluster_labels
+        .iter()
+        .enumerate()
+        .filter_map(|(point_index, x)| match x {
+            ClusterLabel::Cluster(cluster_id) => {
+                let cluster_idx = *cluster_id as usize - 1;
+                let tmp: Option<(usize, T)> =
+                    Some((cluster_idx, elements.get_aggregable_at_index(point_index)));
+                tmp
+            },
+            _ => None,
+        })
+        .collect();
+
+    let run_closure =
+        |chunk: Vec<(usize, T)>| _inner(&chunk, tot_clusters as usize, &def_aggregator);
+    let chunk_size = (out.len() / rayon::current_num_threads()) / 2;
+    let chunk_size = chunk_size.max(1);
+    let out2 = out
+        .into_par_iter()
+        .chunks(chunk_size)
+        .map(run_closure)
+        .reduce(Vec::new, |l, r| {
+            if l.is_empty() {
+                r
+            } else {
+                l.into_iter()
+                    .zip(r)
+                    .map(|(l, r)| match (l, r) {
+                        (Some(l), Some(r)) => {
+                            let o = l.combine(r);
+                            Some(o)
+                        },
+                        (Some(l), None) => Some(l),
+                        (None, Some(r)) => Some(r),
+                        (None, None) => None,
+                    })
+                    .collect::<Vec<_>>()
+            }
+        });
+
+    let mut cluster_vecs = out2.into_iter().flatten().collect::<Vec<_>>();
+
+    if keep_unclustered {
+        let unclustered_elems: Vec<usize> = cluster_labels
+            .iter()
+            .enumerate()
+            .filter(|(_, x)| match x {
+                ClusterLabel::Unassigned => true, // Should there be any unassigned?
+                ClusterLabel::Noise => true,
+                ClusterLabel::Cluster(_) => false,
+            })
+            .map(|(i, _elem)| i)
+            .collect();
+
+        // if unclustered_elems.len() > 0 {
+        //     log::debug!("Total Orig elems: {}", cluster_labels.len());
+        //     log::debug!("Unclustered elems: {}", unclustered_elems.len());
+        //     log::debug!("Clustered elems: {}", cluster_vecs.len());
+        // }
+
+        let unclustered_elems = unclustered_elems
+            .iter()
+            .map(|i| {
+                let mut oe = def_aggregator();
+                oe.add(&elements.get_aggregable_at_index(*i));
+                oe
+            })
+            .collect::<Vec<_>>();
+
+        cluster_vecs.extend(unclustered_elems);
+    }
+
+    timer.stop(true);
+    cluster_vecs
+}
+
+fn serial_aggregate_clusters<
+    T: Send + Clone + Copy,
+    RE: AsAggregableAtIndex<T> + Sync + Send + ?Sized,
+    G: Sync + Send + ClusterAggregator<T, R>,
+    R: Send,
+    F: Fn() -> G + Send + Sync,
+>(
+    tot_clusters: u64,
+    cluster_labels: Vec<ClusterLabel<u64>>,
+    elements: &RE,
+    def_aggregator: &F,
+    keep_unclustered: bool,
+) -> Vec<G> {
+    let mut cluster_vecs: Vec<G> = Vec::with_capacity(tot_clusters as usize);
+    let mut unclustered_points: Vec<G> = Vec::new();
+    for _ in 0..tot_clusters {
+        cluster_vecs.push(def_aggregator());
+    }
+    for (point_index, cluster_label) in cluster_labels.iter().enumerate() {
+        match cluster_label {
+            ClusterLabel::Cluster(cluster_id) => {
+                let cluster_idx = *cluster_id as usize - 1;
+                cluster_vecs[cluster_idx].add(&(elements.get_aggregable_at_index(point_index)));
+            },
+            ClusterLabel::Noise => {
+                if keep_unclustered {
+                    let mut oe = def_aggregator();
+                    oe.add(&elements.get_aggregable_at_index(point_index));
+                    unclustered_points.push(oe);
+                }
+            },
+            _ => {},
+        }
+    }
+    cluster_vecs.extend(unclustered_points);
+    cluster_vecs
+}
+
+fn _inner<T: Copy, G: ClusterAggregator<T, R>, R>(
+    chunk: &[(usize, T)],
+    max_cluster_id: usize,
+    def_aggregator: &dyn Fn() -> G,
+) -> Vec<Option<G>> {
+    let mut cluster_vecs: Vec<Option<G>> = (0..max_cluster_id).map(|_| None).collect();
+
+    for (cluster_idx, point) in chunk {
+        if cluster_vecs[*cluster_idx].is_none() {
+            cluster_vecs[*cluster_idx] = Some(def_aggregator());
+        }
+        cluster_vecs[*cluster_idx].as_mut().unwrap().add(point);
+    }
+
+    cluster_vecs
+}
diff --git a/src/aggregation/chromatograms.rs b/src/aggregation/chromatograms.rs
index ecd21bd..ba7b0b5 100644
--- a/src/aggregation/chromatograms.rs
+++ b/src/aggregation/chromatograms.rs
@@ -1,10 +1,13 @@
+use std::collections::BTreeMap;
+use std::ops::{
+    Add,
+    AddAssign,
+    Mul,
+};
 
 use log::warn;
 use num_traits::AsPrimitive;
 
-use std::collections::BTreeMap;
-use std::ops::{AddAssign, Mul};
-
 // Needs to be odd
 pub const NUM_LOCAL_CHROMATOGRAM_BINS: usize = 21;
 
@@ -16,7 +19,10 @@ pub struct BTreeChromatogram {
 }
 
 #[derive(Debug, Clone, Copy)]
-pub struct ChromatogramArray <T: Mul<Output = T> + AddAssign + Default + AsPrimitive<f32>, const NBINS: usize>{
+pub struct ChromatogramArray<
+    T: Mul<Output = T> + AddAssign + Default + AsPrimitive<f32>,
+    const NBINS: usize,
+> {
     pub chromatogram: [T; NBINS],
     pub rt_binsize: f32,
     pub rt_bin_offset: Option<f32>,
@@ -27,7 +33,10 @@ impl BTreeChromatogram {
     ///
     /// The values in bin = 0 will be in the range [bin_offset, bin_offset + binsize)
     ///
-    pub fn new(rt_binsize: f32, rt_bin_offset: f32) -> Self {
+    pub fn new(
+        rt_binsize: f32,
+        rt_bin_offset: f32,
+    ) -> Self {
         BTreeChromatogram {
             btree: BTreeMap::new(),
             rt_binsize,
@@ -43,15 +52,25 @@ impl BTreeChromatogram {
         }
     }
 
-    fn rt_to_bin(&self, rt: f32) -> i32 {
+    fn rt_to_bin(
+        &self,
+        rt: f32,
+    ) -> i32 {
         ((rt - self.rt_bin_offset.unwrap()) / self.rt_binsize).floor() as i32
     }
 
-    fn bin_to_rt(&self, bin: i32) -> f32 {
+    fn bin_to_rt(
+        &self,
+        bin: i32,
+    ) -> f32 {
         (bin as f32 * self.rt_binsize) + self.rt_bin_offset.unwrap()
     }
 
-    pub fn add(&mut self, rt: f32, intensity: u64) {
+    pub fn add(
+        &mut self,
+        rt: f32,
+        intensity: u64,
+    ) {
         let add_rt = rt + f32::EPSILON;
         if self.rt_bin_offset.is_none() {
             self.rt_bin_offset = Some(rt - (self.rt_binsize / 2.));
@@ -61,11 +80,17 @@ impl BTreeChromatogram {
         *entry += intensity;
     }
 
-    pub fn get_bin(&self, bin: &i32) -> Option<&u64> {
+    pub fn get_bin(
+        &self,
+        bin: &i32,
+    ) -> Option<&u64> {
         self.btree.get(bin)
     }
 
-    pub fn get_at_rt(&self, rt: f32) -> Option<&u64> {
+    pub fn get_at_rt(
+        &self,
+        rt: f32,
+    ) -> Option<&u64> {
         let bin = self.rt_to_bin(rt);
         self.btree.get(&bin)
     }
@@ -82,12 +107,15 @@ impl BTreeChromatogram {
             Some(min) => {
                 let max = *self.btree.keys().last().unwrap();
                 Some((*min, max))
-            }
+            },
             None => None,
         }
     }
 
-    pub fn adopt(&mut self, other: &Self) {
+    pub fn adopt(
+        &mut self,
+        other: &Self,
+    ) {
         if self.rt_bin_offset.is_none() {
             self.rt_bin_offset = other.rt_bin_offset;
         }
@@ -99,11 +127,14 @@ impl BTreeChromatogram {
         }
     }
 
-    fn cosine_similarity(&self, other: &Self) -> Option<f32> {
+    fn cosine_similarity(
+        &self,
+        other: &Self,
+    ) -> Option<f32> {
         // Check that the bin size is almost the same
         let binsize_diff = (self.rt_binsize - other.rt_binsize).abs();
         if binsize_diff > 0.01 {
-            return None
+            return None;
         }
 
         // This would be the offset needed to align the two chromatograms
@@ -111,7 +142,8 @@ impl BTreeChromatogram {
         // be bin number `other_vs_self_offset` in other.
         // This line will also return None if either of the chromatograms
         // has no bin offset set.
-        let other_vs_self_offset = ((other.rt_bin_offset? - self.rt_bin_offset?) / self.rt_binsize) as i32;
+        let other_vs_self_offset =
+            ((other.rt_bin_offset? - self.rt_bin_offset?) / self.rt_binsize) as i32;
 
         let (min, max) = self.int_range()?;
         let (min_o, max_o) = other.int_range()?;
@@ -137,44 +169,83 @@ impl BTreeChromatogram {
         Some(cosine)
     }
 
-    pub fn as_chromatogram_array(&self, center_rt: Option<f32>) -> ChromatogramArray<f32, NUM_LOCAL_CHROMATOGRAM_BINS> {
+    fn total_intensity(&self) -> u64 {
+        self.btree.values().sum()
+    }
+
+    pub fn as_chromatogram_array(
+        &self,
+        center_rt: Option<f32>,
+    ) -> ChromatogramArray<f32, NUM_LOCAL_CHROMATOGRAM_BINS> {
         let mut chromatogram_arr = [0.; NUM_LOCAL_CHROMATOGRAM_BINS];
 
         let max_chr_arr_width = NUM_LOCAL_CHROMATOGRAM_BINS as f32 * self.rt_binsize;
         let curr_width = self.rt_range().unwrap().1 - self.rt_range().unwrap().0;
-        if curr_width > max_chr_arr_width * 2. {
-            warn!("Warning: Chromatogram range is larger than 2x the width of the chromatogram array {} vs {}", curr_width, max_chr_arr_width);
-        }
-        // Warn if the range is larger than the 2x width of the chromatogram
-        // array
 
         // The chromatogram uses the bin size of the chromatogram btree
         // but re-centers it to the mean RT of the trace
         if !self.btree.is_empty() {
-            let int_center = ((center_rt.unwrap_or(0.) - self.rt_bin_offset.unwrap()) / self.rt_binsize) as i32;
+            let int_center =
+                ((center_rt.unwrap_or(0.) - self.rt_bin_offset.unwrap()) / self.rt_binsize) as i32;
             let left_start = int_center - (NUM_LOCAL_CHROMATOGRAM_BINS / 2) as i32;
 
-            for i in 0..NUM_LOCAL_CHROMATOGRAM_BINS {
+            for (i, item) in chromatogram_arr
+                .iter_mut()
+                .enumerate()
+                .take(NUM_LOCAL_CHROMATOGRAM_BINS)
+            {
                 let bin = left_start + i as i32;
-                chromatogram_arr[i] = *self.btree.get(&bin).unwrap_or(&0) as f32;
+                *item = *self.btree.get(&bin).unwrap_or(&0) as f32;
             }
         }
 
-        ChromatogramArray {
+        let out = ChromatogramArray {
             chromatogram: chromatogram_arr,
             rt_binsize: self.rt_binsize,
             rt_bin_offset: self.rt_bin_offset,
+        };
+
+        // Warn if the range is larger than the 2x width of the chromatogram
+        // array
+        if curr_width > max_chr_arr_width * 2. {
+            warn!(
+                "Warning: Chromatogram range is larger than 2x the width of the chromatogram \
+                 array {} vs {} at RT: {}",
+                curr_width,
+                max_chr_arr_width,
+                out.rt_bin_offset.unwrap()
+            );
+            let arr_intensities = out.total_intensity();
+            let btree_intensities = self.total_intensity() as f32;
+            let ratio = arr_intensities / btree_intensities;
+            warn!(
+                "Array intensities: {}, Btree intensities: {}, Ratio: {}",
+                arr_intensities, btree_intensities, ratio
+            );
         }
+
+        out
     }
 }
 
-impl<T: Mul<Output = T> + AddAssign + Default + AsPrimitive<f32>, const NBINS:usize> ChromatogramArray<T, NBINS> {
-
-    pub fn cosine_similarity(&self, other: &Self) -> Option<f32> {
+impl<
+        T: Mul<Output = T>
+            + Add<Output = T>
+            + AddAssign
+            + Default
+            + AsPrimitive<f32>
+            + for<'a> std::iter::Sum<&'a T>,
+        const NBINS: usize,
+    > ChromatogramArray<T, NBINS>
+{
+    pub fn cosine_similarity(
+        &self,
+        other: &Self,
+    ) -> Option<f32> {
         // Check that the bin size is almost the same
         let binsize_diff = (self.rt_binsize - other.rt_binsize).abs();
         if binsize_diff > 0.01 {
-            return None
+            return None;
         }
 
         // This would be the offset needed to align the two chromatograms
@@ -182,14 +253,20 @@ impl<T: Mul<Output = T> + AddAssign + Default + AsPrimitive<f32>, const NBINS:us
         // be bin number `other_vs_self_offset` in other.
         // This line will also return None if either of the chromatograms
         // has no bin offset set.
-        let other_vs_self_offset = ((other.rt_bin_offset? - self.rt_bin_offset?) / self.rt_binsize) as i32;
+        let other_vs_self_offset =
+            ((other.rt_bin_offset? - self.rt_bin_offset?) / self.rt_binsize) as i32;
 
         let mut dot = T::default();
         let mut mag_a = T::default();
         let mut mag_b = T::default();
         for i in 0..NBINS {
-            let other_index = i + other_vs_self_offset as usize;
-            if other_index >= other.chromatogram.len() || other_index < 0 {
+            let other_index = i as i32 + other_vs_self_offset;
+            if other_index < 0 {
+                continue;
+            }
+
+            let other_index = other_index as usize;
+            if other_index >= other.chromatogram.len() {
                 continue;
             }
 
@@ -205,6 +282,10 @@ impl<T: Mul<Output = T> + AddAssign + Default + AsPrimitive<f32>, const NBINS:us
         let cosine = dot.as_() / (mag_a * mag_b);
         Some(cosine)
     }
+
+    pub fn total_intensity(&self) -> T {
+        self.chromatogram.iter().sum()
+    }
 }
 
 #[cfg(test)]
@@ -247,7 +328,7 @@ mod chromatogram_tests {
     }
 
     #[test]
-    fn test_chromatogram_array_cosine(){
+    fn test_chromatogram_array_cosine() {
         let mut c = ChromatogramArray::<i32, 5> {
             chromatogram: [0; 5],
             rt_binsize: 1.,
@@ -277,7 +358,6 @@ mod chromatogram_tests {
         c.chromatogram[4] = 20;
         let cosine = c.cosine_similarity(&c2).unwrap();
         assert!(cosine <= 0.9, "Cosine: {}", cosine);
-
     }
 
     #[test]
@@ -305,7 +385,6 @@ mod chromatogram_tests {
         c.add(2., 3);
         c.add(5., 5);
 
-
         let mut c2 = BTreeChromatogram::new(1., 1.55);
         // With bin offset of 1.55 and binsize 1.0, bin 0 is [1.55, 2.55)
 
diff --git a/src/aggregation/converters.rs b/src/aggregation/converters.rs
new file mode 100644
index 0000000..3fcf2bb
--- /dev/null
+++ b/src/aggregation/converters.rs
@@ -0,0 +1,37 @@
+use crate::ms::frames::TimsPeak;
+use crate::space::space_generics::{
+    NDPoint,
+    NDPointConverter,
+};
+
+// https://github.com/rust-lang/rust/issues/35121
+// The never type is not stable yet....
+pub struct BypassDenseFrameBackConverter {}
+
+impl NDPointConverter<TimsPeak, 2> for BypassDenseFrameBackConverter {
+    fn convert(
+        &self,
+        _elem: &TimsPeak,
+    ) -> NDPoint<2> {
+        panic!("This should never be called")
+    }
+}
+
+pub struct DenseFrameConverter {
+    pub mz_scaling: f64,
+    pub ims_scaling: f32,
+}
+
+impl NDPointConverter<TimsPeak, 2> for DenseFrameConverter {
+    fn convert(
+        &self,
+        elem: &TimsPeak,
+    ) -> NDPoint<2> {
+        NDPoint {
+            values: [
+                (elem.mz / self.mz_scaling) as f32,
+                (elem.mobility / self.ims_scaling),
+            ],
+        }
+    }
+}
diff --git a/src/aggregation/dbscan.rs b/src/aggregation/dbscan.rs
deleted file mode 100644
index feab118..0000000
--- a/src/aggregation/dbscan.rs
+++ /dev/null
@@ -1,812 +0,0 @@
-use std::collections::BTreeMap;
-use std::ops::{Add, Div, Mul, Sub};
-
-use crate::ms::frames::TimsPeak;
-use crate::space::space_generics::NDPointConverter;
-use crate::utils::within_distance_apply;
-use crate::utils;
-
-/// Density-based spatial clustering of applications with noise (DBSCAN)
-///
-/// This module implements a variant of dbscan with a couple of modifications
-/// with respect to the vanilla implementation.
-///
-/// 1. Intensity usage.
-///
-use crate::mod_types::Float;
-use crate::ms::frames;
-use crate::space::space_generics::{HasIntensity, IndexedPoints, NDPoint};
-use indicatif::ProgressIterator;
-use log::{debug, info, trace};
-
-use rayon::prelude::*;
-
-use crate::space::kdtree::RadiusKDTree;
-
-use num::cast::AsPrimitive;
-
-// Pseudocode from wikipedia.
-// Donate to wikipedia y'all. :3
-//
-// DBSCAN(DB, distFunc, eps, minPts) {
-//     C := 0                                                  /* Cluster counter */
-//     for each point P in database DB {
-//         if label(P) ≠ undefined then continue               /* Previously processed in inner loop */
-//         Neighbors N := RangeQuery(DB, distFunc, P, eps)     /* Find neighbors */
-//         if |N| < minPts then {                              /* Density check */
-//             label(P) := Noise                               /* Label as Noise */
-//             continue
-//         }
-//         C := C + 1                                          /* next cluster label */
-//         label(P) := C                                       /* Label initial point */
-//         SeedSet S := N \ {P}                                /* Neighbors to expand */
-//         for each point Q in S {                             /* Process every seed point Q */
-//             if label(Q) = Noise then label(Q) := C          /* Change Noise to border point */
-//             if label(Q) ≠ undefined then continue           /* Previously processed (e.g., border point) */
-//             label(Q) := C                                   /* Label neighbor */
-//             Neighbors N := RangeQuery(DB, distFunc, Q, eps) /* Find neighbors */
-//             if |N| ≥ minPts then {                          /* Density check (if Q is a core point) */
-//                 S := S ∪ N                                  /* Add new neighbors to seed set */
-//             }
-//         }
-//     }
-// }
-
-// Variations ...
-// 1. Use a quadtree to find neighbors
-// 2. Sort the pointd by decreasing intensity (more intense points adopt first).
-// 3. Use an intensity threshold intead of a minimum number of neighbors.
-
-#[derive(Debug, PartialEq, Clone)]
-pub enum ClusterLabel<T> {
-    Unassigned,
-    Noise,
-    Cluster(T),
-}
-
-impl HasIntensity<u32> for frames::TimsPeak {
-    fn intensity(&self) -> u32 {
-        self.intensity
-    }
-}
-
-struct FilterFunCache<'a> {
-    cache: Vec<Option<BTreeMap<usize, bool>>>,
-    filter_fun: Box<&'a dyn Fn(&usize, &usize) -> bool>,
-    tot_queries: u64,
-    cached_queries: u64,
-}
-
-impl<'a> FilterFunCache<'a> {
-    fn new(filter_fun: Box<&'a dyn Fn(&usize, &usize) -> bool>, capacity: usize) -> Self {
-        Self {
-            cache: vec![None; capacity],
-            filter_fun,
-            tot_queries: 0,
-            cached_queries: 0,
-        }
-    }
-
-    fn get(&mut self, elem_idx: usize, reference_idx: usize) -> bool {
-        // Get the value if it exists, call the functon, insert it and
-        // return it if it doesn't.
-        self.tot_queries += 1;
-
-        let out: bool = match self.cache[elem_idx] {
-            Some(ref map) => match map.get(&reference_idx) {
-                Some(x) => {
-                    self.cached_queries += 1;
-                    *x
-                }
-                None => {
-                    let out: bool = (self.filter_fun)(&elem_idx, &reference_idx);
-                    self.insert(elem_idx, reference_idx, out);
-                    self.insert(reference_idx, elem_idx, out);
-                    out
-                }
-            },
-            None => {
-                let out = (self.filter_fun)(&elem_idx, &reference_idx);
-                self.insert(elem_idx, reference_idx, out);
-                self.insert(reference_idx, elem_idx, out);
-                out
-            }
-        };
-        out
-    }
-
-    fn insert(&mut self, elem_idx: usize, reference_idx: usize, value: bool) {
-        match self.cache[elem_idx] {
-            Some(ref mut map) => {
-                _ = map.insert(reference_idx, value);
-            }
-            None => {
-                let mut map = BTreeMap::new();
-                map.insert(reference_idx, value);
-                self.cache[elem_idx] = Some(map);
-            }
-        }
-    }
-
-    fn get_stats(&self) -> (u64, u64) {
-        (self.tot_queries, self.cached_queries)
-    }
-}
-
-// TODO: rename quad_points, since this no longer uses a quadtree.
-// TODO: refactor to take a filter function instead of requiting
-//       a min intensity and an intensity trait.
-// TODO: rename the pre-filtered...
-// TODO: reimplement this a two-stage pass, where the first in parallel
-//       gets the neighbors and the second does the iterative aggregation.
-
-// THIS IS A BOTTLENECK FUNCTION
-fn _dbscan<
-    'a,
-    const N: usize,
-    C: NDPointConverter<E, N>,
-    I: Div<Output = I>
-        + Add<Output = I>
-        + Mul<Output = I>
-        + Sub<Output = I>
-        + Default
-        + Copy
-        + PartialOrd<I>
-        + AsPrimitive<u64>
-        + Send
-        + Sync,
-    E: Sync + HasIntensity<I>,
-    T: IndexedPoints<'a, N, usize> + std::marker::Sync,
-    FF: Fn(&E, &E) -> bool + Send + Sync + Copy,
->(
-    indexed_points: &'a T,
-    prefiltered_peaks: &Vec<E>,
-    quad_points: &Vec<NDPoint<N>>,
-    min_n: usize,
-    min_intensity: u64,
-    intensity_sorted_indices: &Vec<(usize, I)>,
-    filter_fun: Option<FF>,
-    converter: C,
-    progress: bool,
-    max_extension_distances: &[Float;N],
-) -> (u64, Vec<ClusterLabel<u64>>) {
-    let mut initial_candidates_counts = utils::RollingSDCalculator::default();
-    let mut final_candidates_counts = utils::RollingSDCalculator::default();
-
-    let mut cluster_labels = vec![ClusterLabel::Unassigned; prefiltered_peaks.len()];
-    let mut cluster_id = 0;
-
-    let mut timer = utils::ContextTimer::new("internal_dbscan", false, utils::LogLevel::DEBUG);
-
-    let mut filter_fun_cache_timer = timer.start_sub_timer("filter_fun_cache");
-    let mut outer_loop_nn_timer = timer.start_sub_timer("outer_loop_nn");
-    let mut inner_loop_nn_timer = timer.start_sub_timer("inner_loop_nn");
-    let mut local_neighbor_filter_timer = timer.start_sub_timer("local_neighbor_filter");
-    let mut outer_intensity_calculation = timer.start_sub_timer("outer_intensity_calculation");
-    let mut inner_intensity_calculation = timer.start_sub_timer("inner_intensity_calculation");
-
-    let usize_filterfun = |a: &usize, b: &usize| {
-        filter_fun.expect("filter_fun should be Some")(
-            &prefiltered_peaks[*a],
-            &prefiltered_peaks[*b],
-        )
-    };
-    let mut filterfun_cache =
-        FilterFunCache::new(Box::new(&usize_filterfun), prefiltered_peaks.len());
-    let mut filterfun_with_cache = |elem_idx: usize, reference_idx: usize| {
-        filter_fun_cache_timer.reset_start();
-        let out = filterfun_cache.get(elem_idx, reference_idx);
-        filter_fun_cache_timer.stop(false);
-        out
-    };
-
-    let my_progbar = if progress {
-        indicatif::ProgressBar::new(intensity_sorted_indices.len() as u64)
-    } else {
-        indicatif::ProgressBar::hidden()
-    };
-
-    for (point_index, _intensity) in intensity_sorted_indices.iter().progress_with(my_progbar) {
-        let point_index = *point_index;
-        if cluster_labels[point_index] != ClusterLabel::Unassigned {
-            continue;
-        }
-
-        outer_loop_nn_timer.reset_start();
-        let query_elems = converter.convert_to_bounds_query(&quad_points[point_index]);
-        let mut neighbors = indexed_points.query_ndrange(&query_elems.0, query_elems.1);
-        outer_loop_nn_timer.stop(false);
-
-        if neighbors.len() < min_n {
-            cluster_labels[point_index] = ClusterLabel::Noise;
-            continue;
-        }
-
-        if filter_fun.is_some() {
-            let num_initial_candidates = neighbors.len();
-            neighbors.retain(|i| filterfun_with_cache(**i, point_index));
-            // .filter(|i| filter_fun.unwrap()(&prefiltered_peaks[**i], &query_peak))
-
-            let candidates_after_filter = neighbors.len();
-            initial_candidates_counts.add(num_initial_candidates as f32, 1);
-            final_candidates_counts.add(candidates_after_filter as f32, 1);
-
-            if neighbors.len() < min_n {
-                cluster_labels[point_index] = ClusterLabel::Noise;
-                continue;
-            }
-        }
-
-        // Q: Do I need to care about overflows here? - Sebastian
-        outer_intensity_calculation.reset_start();
-        let neighbor_intensity_total = neighbors
-            .iter()
-            .map(|i| prefiltered_peaks[**i].intensity().as_())
-            .sum::<u64>();
-        outer_intensity_calculation.stop(false);
-
-        if neighbor_intensity_total < min_intensity {
-            cluster_labels[point_index] = ClusterLabel::Noise;
-            continue;
-        }
-
-        cluster_id += 1;
-        cluster_labels[point_index] = ClusterLabel::Cluster(cluster_id);
-        let mut seed_set: Vec<&usize> = Vec::new();
-        seed_set.extend(neighbors);
-
-        let mut internal_neighbor_additions = 0;
-
-        while let Some(neighbor) = seed_set.pop() {
-            let neighbor_index = *neighbor;
-            if cluster_labels[neighbor_index] == ClusterLabel::Noise {
-                cluster_labels[neighbor_index] = ClusterLabel::Cluster(cluster_id);
-            }
-
-            if cluster_labels[neighbor_index] != ClusterLabel::Unassigned {
-                continue;
-            }
-
-            cluster_labels[neighbor_index] = ClusterLabel::Cluster(cluster_id);
-
-            inner_loop_nn_timer.reset_start();
-            let inner_query_elems = converter.convert_to_bounds_query(&quad_points[*neighbor]);
-            let mut local_neighbors =
-                indexed_points.query_ndrange(&inner_query_elems.0, inner_query_elems.1);
-            inner_loop_nn_timer.stop(false);
-
-            if filter_fun.is_some() {
-                local_neighbors.retain(|i| filterfun_with_cache(**i, point_index))
-                // .filter(|i| filter_fun.unwrap()(&prefiltered_peaks[**i], &query_peak))
-            }
-
-            inner_intensity_calculation.reset_start();
-            let query_intensity = prefiltered_peaks[neighbor_index].intensity();
-            let neighbor_intensity_total = local_neighbors
-                .iter()
-                .map(|i| prefiltered_peaks[**i].intensity().as_())
-                .sum::<u64>();
-            inner_intensity_calculation.stop(false);
-
-            if local_neighbors.len() >= min_n && neighbor_intensity_total >= min_intensity {
-                // Keep only the neighbors that are not already in a cluster
-                local_neighbors.retain(|i| match cluster_labels[**i] {
-                    ClusterLabel::Cluster(_) => false,
-                    _ => true,
-                });
-
-                // Keep only the neighbors that are within the max extension distance
-                // It might be worth setting a different max extension distance for the mz and mobility dimensions.
-                local_neighbor_filter_timer.reset_start();
-                local_neighbors.retain(|i| {
-                    let going_downhill = prefiltered_peaks[**i].intensity() <= query_intensity;
-
-                    let p = &quad_points[**i];
-                    let query_point = query_elems.1.unwrap();
-                    // Using minkowski distance with p = 1, manhattan distance.
-                    let mut within_distance = true;
-                    for ((p, q), max_dist) in p.values.iter().zip(query_point.values).zip(max_extension_distances.iter()) {
-                        let dist = (p - q).abs();
-                        within_distance = within_distance && dist <= *max_dist;
-                        if !within_distance {
-                            break;
-                        }
-                    }
-
-                    going_downhill && within_distance
-                });
-                local_neighbor_filter_timer.stop(false);
-
-                internal_neighbor_additions += local_neighbors.len();
-                seed_set.extend(local_neighbors);
-            }
-        }
-    }
-
-    let (tot_queries, cached_queries) = filterfun_cache.get_stats();
-
-    if tot_queries > 1000 {
-        let cache_hit_rate = cached_queries as f64 / tot_queries as f64;
-        info!(
-            "Cache hit rate: {} / {} = {}",
-            cached_queries, tot_queries, cache_hit_rate
-        );
-
-        let avg_initial_candidates = initial_candidates_counts.get_mean();
-        let avg_final_candidates = final_candidates_counts.get_mean();
-        debug!(
-            "Avg initial candidates: {} Avg final candidates: {}",
-            avg_initial_candidates, avg_final_candidates
-        );
-    }
-
-    timer.stop(false);
-    if timer.cumtime.as_micros() > 1000000 {
-        timer.report();
-        filter_fun_cache_timer.report();
-        outer_loop_nn_timer.report();
-        inner_loop_nn_timer.report();
-        local_neighbor_filter_timer.report();
-        outer_intensity_calculation.report();
-        inner_intensity_calculation.report();
-    }
-
-    (cluster_id, cluster_labels)
-}
-
-/// A trait for aggregating points into a single point.
-/// This is used for the final step of dbscan.
-///
-/// Types <T,R,S> are:
-/// T: The type of the points to be aggregated.
-/// R: The type of the aggregated point.
-/// S: The type of the aggregator.
-///
-pub trait ClusterAggregator<T, R> {
-    fn add(&mut self, elem: &T);
-    fn aggregate(&self) -> R;
-    fn combine(self, other: Self) -> Self;
-}
-
-#[derive(Default, Debug)]
-struct TimsPeakAggregator {
-    cluster_intensity: u64,
-    cluster_mz: f64,
-    cluster_mobility: f64,
-    num_peaks: u64,
-}
-
-impl ClusterAggregator<TimsPeak, TimsPeak> for TimsPeakAggregator {
-    fn add(&mut self, elem: &TimsPeak) {
-        let f64_intensity = elem.intensity as f64;
-        debug_assert!((elem.intensity as u64) < (u64::MAX - self.cluster_intensity));
-        self.cluster_intensity += elem.intensity as u64;
-        self.cluster_mz += elem.mz * f64_intensity;
-        self.cluster_mobility += (elem.mobility as f64) * f64_intensity;
-        self.num_peaks += 1;
-    }
-
-    fn aggregate(&self) -> TimsPeak {
-        let cluster_mz = self.cluster_mz / self.cluster_intensity as f64;
-        let cluster_mobility = self.cluster_mobility / self.cluster_intensity as f64;
-        frames::TimsPeak {
-            intensity: self.cluster_intensity as u32,
-            mz: cluster_mz,
-            mobility: cluster_mobility as f32,
-            npeaks: self.num_peaks as u32,
-        }
-    }
-
-    fn combine(self, other: Self) -> Self {
-        Self {
-            cluster_intensity: self.cluster_intensity + other.cluster_intensity,
-            cluster_mz: self.cluster_mz + other.cluster_mz,
-            cluster_mobility: self.cluster_mobility + other.cluster_mobility,
-            num_peaks: self.num_peaks + other.num_peaks,
-        }
-    }
-}
-
-fn _inner<T: Copy, G: ClusterAggregator<T, R>, R>(
-    chunk: &[(usize, T)],
-    max_cluster_id: usize,
-    def_aggregator: &dyn Fn() -> G,
-) -> Vec<Option<G>> {
-    let mut cluster_vecs: Vec<Option<G>> = (0..max_cluster_id).map(|_| None).collect();
-
-    for (cluster_idx, point) in chunk {
-        if cluster_vecs[*cluster_idx].is_none() {
-            cluster_vecs[*cluster_idx] = Some(def_aggregator());
-        }
-        cluster_vecs[*cluster_idx].as_mut().unwrap().add(point);
-    }
-
-    cluster_vecs
-}
-
-pub fn aggregate_clusters<
-    T: HasIntensity<Z> + Send + Clone + Copy,
-    G: Sync + Send + ClusterAggregator<T, R>,
-    R: Send,
-    F: Fn() -> G + Send + Sync,
-    Z: AsPrimitive<u64>
-        + Send
-        + Sync
-        + Add<Output = Z>
-        + PartialOrd
-        + Div<Output = Z>
-        + Mul<Output = Z>
-        + Default
-        + Sub<Output = Z>,
->(
-    tot_clusters: u64,
-    cluster_labels: Vec<ClusterLabel<u64>>,
-    elements: &[T],
-    def_aggregator: &F,
-    log_level: utils::LogLevel,
-    keep_unclustered: bool,
-) -> Vec<R> {
-    let cluster_vecs: Vec<G> = if cfg!(feature = "par_dataprep") {
-        let mut timer =
-            utils::ContextTimer::new("dbscan_generic::par_aggregation", true, log_level);
-        let out: Vec<(usize, T)> = cluster_labels
-            .iter()
-            .enumerate()
-            .filter_map(|(point_index, x)| match x {
-                ClusterLabel::Cluster(cluster_id) => {
-                    let cluster_idx = *cluster_id as usize - 1;
-                    let tmp: Option<(usize, T)> = Some((cluster_idx, elements[point_index]));
-                    tmp
-                }
-                _ => None,
-            })
-            .collect();
-
-        let run_closure =
-            |chunk: Vec<(usize, T)>| _inner(&chunk, tot_clusters as usize, &def_aggregator);
-        let chunk_size = (out.len() / rayon::current_num_threads()) / 2;
-        let chunk_size = chunk_size.max(1);
-        let out2 = out
-            .into_par_iter()
-            .chunks(chunk_size)
-            .map(run_closure)
-            .reduce(Vec::new, |l, r| {
-                if l.is_empty() {
-                    r
-                } else {
-                    l.into_iter()
-                        .zip(r)
-                        .map(|(l, r)| match (l, r) {
-                            (Some(l), Some(r)) => {
-                                let o = l.combine(r);
-                                Some(o)
-                            }
-                            (Some(l), None) => Some(l),
-                            (None, Some(r)) => Some(r),
-                            (None, None) => None,
-                        })
-                        .collect::<Vec<_>>()
-                }
-            });
-
-        let mut cluster_vecs = out2.into_iter().flatten().collect::<Vec<_>>();
-
-        let unclustered_elems: Vec<usize> = cluster_labels
-            .iter()
-            .enumerate()
-            .filter(|(_, x)| match x {
-                ClusterLabel::Unassigned => true,
-                ClusterLabel::Noise => keep_unclustered,
-                _ => false,
-            })
-            .map(|(i, _elem)| i)
-            .collect();
-
-        // if unclustered_elems.len() > 0 {
-        //     log::debug!("Total Orig elems: {}", cluster_labels.len());
-        //     log::debug!("Unclustered elems: {}", unclustered_elems.len());
-        //     log::debug!("Clustered elems: {}", cluster_vecs.len());
-        // }
-
-        let unclustered_elems = unclustered_elems
-            .iter()
-            .map(|i| {
-                let mut oe = def_aggregator();
-                oe.add(&elements[*i]);
-                oe
-            })
-            .collect::<Vec<_>>();
-
-        cluster_vecs.extend(unclustered_elems);
-
-        timer.stop(true);
-        cluster_vecs
-    } else {
-        let mut cluster_vecs: Vec<G> = Vec::with_capacity(tot_clusters as usize);
-        let mut unclustered_points: Vec<G> = Vec::new();
-        for _ in 0..tot_clusters {
-            cluster_vecs.push(def_aggregator());
-        }
-        for (point_index, cluster_label) in cluster_labels.iter().enumerate() {
-            match cluster_label {
-                ClusterLabel::Cluster(cluster_id) => {
-                    let cluster_idx = *cluster_id as usize - 1;
-                    cluster_vecs[cluster_idx].add(&(elements[point_index]));
-                }
-                ClusterLabel::Noise => {
-                    if keep_unclustered {
-                        let mut oe = def_aggregator();
-                        oe.add(&elements[point_index]);
-                        unclustered_points.push(oe);
-                    }
-                }
-                _ => {}
-            }
-        }
-        cluster_vecs.extend(unclustered_points);
-        cluster_vecs
-    };
-
-    let mut timer =
-        utils::ContextTimer::new("dbscan_generic::aggregation", true, utils::LogLevel::TRACE);
-    let out = cluster_vecs
-        .par_iter()
-        .map(|cluster| cluster.aggregate())
-        .collect::<Vec<_>>();
-    timer.stop(true);
-
-    out
-}
-
-// Pretty simple function ... it uses every passed centroid, converts it to a point
-// and generates a new centroid that aggregates all the points in its range.
-// In contrast with the dbscan method, the elements in each cluster are not necessarily
-// mutually exclusive.
-fn reassign_centroid<
-    'a,
-    const N: usize,
-    T: HasIntensity<Z> + Send + Clone + Copy,
-    C: NDPointConverter<R, N>,
-    I: IndexedPoints<'a, N, usize> + std::marker::Sync,
-    G: Sync + Send + ClusterAggregator<T, R>,
-    R: Send,
-    F: Fn() -> G + Send + Sync,
-    Z: AsPrimitive<u64>
-        + Send
-        + Sync
-        + Add<Output = Z>
-        + PartialOrd
-        + Div<Output = Z>
-        + Mul<Output = Z>
-        + Default
-        + Sub<Output = Z>,
->(
-    centroids: Vec<R>,
-    indexed_points: &'a I,
-    centroid_converter: C,
-    elements: &Vec<T>,
-    def_aggregator: F,
-    log_level: utils::LogLevel,
-    expansion_factors: &[Float;N],
-) -> Vec<R> {
-    let mut timer = utils::ContextTimer::new("reassign_centroid", true, log_level);
-    let mut out = Vec::with_capacity(centroids.len());
-
-    for centroid in centroids {
-        let query_point = centroid_converter.convert(&centroid);
-        let mut query_elems = centroid_converter.convert_to_bounds_query(&query_point);
-        query_elems.0.expand(expansion_factors);
-
-        // trace!("Querying for Centroid: {:?}", query_elems.1);
-        // trace!("Querying for Boundary: {:?}", query_elems.0);
-        let neighbors = indexed_points.query_ndrange(&query_elems.0, query_elems.1);
-        // trace!("Found {} neighbors", neighbors.len());
-        let mut aggregator = def_aggregator();
-        let mut num_agg = 0;
-        for neighbor in neighbors {
-            aggregator.add(&elements[*neighbor]);
-            num_agg += 1;
-        }
-        trace!("Aggregated {} elements", num_agg);
-        out.push(aggregator.aggregate());
-    }
-
-    timer.stop(true);
-    out
-}
-// TODO: rename prefiltered peaks argument!
-// TODO implement a version that takes a sparse distance matrix.
-
-pub fn dbscan_generic<
-    C: NDPointConverter<T, N>,
-    C2: NDPointConverter<R, N>,
-    R: Send,
-    G: Sync + Send + ClusterAggregator<T, R>,
-    T: HasIntensity<Z> + Send + Clone + Copy + Sync,
-    F: Fn() -> G + Send + Sync,
-    const N: usize,
-    // Z is usually u32 or u64
-    Z: AsPrimitive<u64>
-        + Send
-        + Sync
-        + Add<Output = Z>
-        + PartialOrd
-        + Div<Output = Z>
-        + Mul<Output = Z>
-        + Default
-        + Sub<Output = Z>,
-    FF: Send + Sync + Fn(&T, &T) -> bool,
->(
-    converter: C,
-    prefiltered_peaks: Vec<T>,
-    min_n: usize,
-    min_intensity: u64,
-    def_aggregator: F,
-    extra_filter_fun: Option<&FF>,
-    log_level: Option<utils::LogLevel>,
-    keep_unclustered: bool,
-    max_extension_distances: &[Float;N],
-    back_converter: Option<C2>,
-) -> Vec<R> {
-    let show_progress = log_level.is_some();
-    let log_level = match log_level {
-        Some(x) => x,
-        None => utils::LogLevel::TRACE,
-    };
-
-    let timer = utils::ContextTimer::new("dbscan_generic", true, log_level);
-    let mut i_timer = timer.start_sub_timer("conversion");
-    let (ndpoints, boundary) = converter.convert_vec(&prefiltered_peaks);
-    i_timer.stop(true);
-
-    let mut i_timer = timer.start_sub_timer("tree");
-    let mut tree = RadiusKDTree::new_empty(boundary, 500, 1.);
-    let quad_indices = (0..ndpoints.len()).collect::<Vec<_>>();
-
-    for (quad_point, i) in ndpoints.iter().zip(quad_indices.iter()) {
-        tree.insert_ndpoint(quad_point.clone(), i);
-    }
-    i_timer.stop(true);
-
-    let mut i_timer = timer.start_sub_timer("pre-sort");
-    let mut intensity_sorted_indices = prefiltered_peaks
-        .iter()
-        .enumerate()
-        .map(|(i, peak)| (i, peak.intensity()))
-        .collect::<Vec<_>>();
-    // Q: Does ^^^^ need a clone? i and peak intensity ... - S
-
-    intensity_sorted_indices.par_sort_unstable_by(|a, b| b.1.partial_cmp(&a.1).unwrap());
-    i_timer.stop(true);
-
-    let mut i_timer = timer.start_sub_timer("dbscan");
-    let (tot_clusters, cluster_labels) = _dbscan(
-        &tree,
-        &prefiltered_peaks,
-        &ndpoints,
-        min_n,
-        min_intensity,
-        &intensity_sorted_indices,
-        extra_filter_fun,
-        converter,
-        show_progress,
-        max_extension_distances,
-    );
-    i_timer.stop(true);
-
-    let centroids = aggregate_clusters(
-        tot_clusters,
-        cluster_labels,
-        &prefiltered_peaks,
-        &def_aggregator,
-        log_level,
-        keep_unclustered,
-    );
-
-    match back_converter {
-        Some(bc) => {
-
-            reassign_centroid(
-                centroids,
-                &tree,
-                bc,
-                &prefiltered_peaks,
-                &def_aggregator,
-                log_level,
-                max_extension_distances,
-            )
-        }
-        None => {
-            centroids
-        }
-    }
-}
-
-// https://github.com/rust-lang/rust/issues/35121
-// The never type is not stable yet....
-struct BypassDenseFrameBackConverter {}
-
-impl NDPointConverter<frames::TimsPeak, 2> for BypassDenseFrameBackConverter {
-    fn convert(&self, _elem: &frames::TimsPeak) -> NDPoint<2> {
-        panic!("This should never be called")
-    }
-}
-
-struct DenseFrameConverter {
-    mz_scaling: f64,
-    ims_scaling: f32,
-}
-
-impl NDPointConverter<TimsPeak, 2> for DenseFrameConverter {
-    fn convert(&self, elem: &TimsPeak) -> NDPoint<2> {
-        NDPoint {
-            values: [
-                (elem.mz / self.mz_scaling) as Float,
-                (elem.mobility / self.ims_scaling) as Float,
-            ],
-        }
-    }
-}
-
-type FFTimsPeak = fn(&TimsPeak, &TimsPeak) -> bool;
-// <FF: Send + Sync + Fn(&TimsPeak, &TimsPeak) -> bool>
-pub fn dbscan_denseframes(
-    mut denseframe: frames::DenseFrame,
-    mz_scaling: f64,
-    max_mz_extension: f64,
-    ims_scaling: f32,
-    max_ims_extension: f32,
-    min_n: usize,
-    min_intensity: u64,
-) -> frames::DenseFrame {
-    let out_frame_type: timsrust::FrameType = denseframe.frame_type;
-    let out_rt: f64 = denseframe.rt;
-    let out_index: usize = denseframe.index;
-
-    let prefiltered_peaks = {
-        denseframe.sort_by_mz();
-
-        let keep_vector = within_distance_apply(
-            &denseframe.raw_peaks,
-            &|peak| peak.mz,
-            &mz_scaling,
-            &|i_right, i_left| (i_right - i_left) >= min_n,
-        );
-
-        // Filter the peaks and replace the raw peaks with the filtered peaks.
-
-        denseframe
-            .raw_peaks
-            .clone()
-            .into_iter()
-            .zip(keep_vector)
-            .filter(|(_, b)| *b)
-            .map(|(peak, _)| peak) // Clone the TimsPeak
-            .collect::<Vec<_>>()
-    };
-
-    let converter = DenseFrameConverter {
-        mz_scaling,
-        ims_scaling,
-    };
-    let peak_vec: Vec<TimsPeak> = dbscan_generic(
-        converter,
-        prefiltered_peaks,
-        min_n,
-        min_intensity,
-        TimsPeakAggregator::default,
-        None::<&FFTimsPeak>,
-        None,
-        true,
-        &[max_mz_extension as Float, max_ims_extension as Float],
-        None::<BypassDenseFrameBackConverter>,
-    );
-
-    frames::DenseFrame {
-        raw_peaks: peak_vec,
-        index: out_index,
-        rt: out_rt,
-        frame_type: out_frame_type,
-        sorted: None,
-    }
-}
diff --git a/src/aggregation/dbscan/dbscan.rs b/src/aggregation/dbscan/dbscan.rs
new file mode 100644
index 0000000..72fdb77
--- /dev/null
+++ b/src/aggregation/dbscan/dbscan.rs
@@ -0,0 +1,256 @@
+use std::fmt::Debug;
+use std::ops::Add;
+
+use log::info;
+use rayon::prelude::*;
+
+use crate::aggregation::aggregators::{
+    aggregate_clusters,
+    ClusterAggregator,
+};
+use crate::aggregation::dbscan::runner::dbscan_label_clusters;
+use crate::space::kdtree::RadiusKDTree;
+use crate::space::space_generics::{
+    AsAggregableAtIndex,
+    AsNDPointsAtIndex,
+    DistantAtIndex,
+    HasIntensity,
+    IntenseAtIndex,
+    NDPoint,
+    NDPointConverter,
+    QueriableIndexedPoints,
+};
+use crate::utils::{
+    self,
+    ContextTimer,
+};
+
+// Pretty simple function ... it uses every passed centroid, converts it to a point
+// and generates a new centroid that aggregates all the points in its range.
+// In contrast with the dbscan method, the elements in each cluster are not necessarily
+// mutually exclusive.
+pub fn reassign_centroid<
+    'a,
+    const N: usize,
+    T: Send + Clone + Copy + Debug,
+    C: NDPointConverter<R, N>,
+    I: QueriableIndexedPoints<N> + std::marker::Sync,
+    G: Sync + Send + ClusterAggregator<T, R>,
+    R: Send + Debug,
+    RE: Send + Sync + AsAggregableAtIndex<T> + ?Sized,
+    F: Fn() -> G + Send + Sync,
+>(
+    centroids: Vec<R>,
+    indexed_points: &'a I,
+    centroid_converter: C,
+    elements: &RE,
+    def_aggregator: F,
+    log_level: utils::LogLevel,
+    expansion_factors: &[f32; N],
+    max_n: Option<usize>,
+    sort_lambda: Option<&dyn Fn(&R, &T, &T) -> std::cmp::Ordering>,
+) -> Vec<R> {
+    let mut timer = utils::ContextTimer::new("reassign_centroid", true, log_level);
+    info!("Reassigning centroids params: {:?}", expansion_factors);
+    info!("Reassign centroids: {}", centroids.len());
+    let mut out = Vec::with_capacity(centroids.len());
+
+    for centroid in centroids {
+        let query_point = centroid_converter.convert(&centroid);
+        let mut query_elems = indexed_points.convert_to_bounds_query(&query_point);
+        query_elems.0.expand_absolute(expansion_factors);
+
+        let mut neighbors: Vec<T> = indexed_points
+            .query_ndrange(&query_elems.0, query_elems.1)
+            .into_iter()
+            .map(|x| elements.get_aggregable_at_index(x))
+            .collect();
+
+        // Optionally sort by a passed function/lambda
+        if let Some(sort_lambda) = sort_lambda {
+            neighbors.sort_by(|a, b| sort_lambda(&centroid, a, b));
+        }
+
+        // Optionally truncate the neighbors
+        if let Some(max_n) = max_n {
+            neighbors.truncate(max_n);
+        }
+
+        // 1/1000 show the first and last neighbor, as well as the centroid
+        if !neighbors.is_empty() && rand::random::<f32>() < 0.001 {
+            println!(
+                "Centroid: {:?}, First: {:?}, Last: {:?}",
+                centroid,
+                neighbors[0],
+                neighbors[neighbors.len() - 1]
+            );
+        }
+
+        let mut aggregator = def_aggregator();
+        for neighbor in neighbors {
+            aggregator.add(&neighbor);
+        }
+        out.push(aggregator.aggregate());
+    }
+
+    timer.stop(true);
+    out
+}
+
+// TODO: rename prefiltered peaks argument!
+
+impl<const N: usize> AsNDPointsAtIndex<N> for Vec<NDPoint<N>> {
+    fn get_ndpoint(
+        &self,
+        index: usize,
+    ) -> NDPoint<N> {
+        self[index]
+    }
+
+    fn num_ndpoints(&self) -> usize {
+        self.len()
+    }
+}
+
+pub fn dbscan_generic<
+    C: NDPointConverter<T, N>,
+    C2: NDPointConverter<R, N>,
+    R: Send + Debug,
+    G: Sync + Send + ClusterAggregator<T, R>,
+    T: HasIntensity + Send + Clone + Copy + Sync + Debug,
+    RE: IntenseAtIndex
+        + DistantAtIndex<D>
+        + IntoIterator<Item = T>
+        + Send
+        + Sync
+        + AsAggregableAtIndex<T>
+        + std::fmt::Debug
+        + ?Sized,
+    F: Fn() -> G + Send + Sync,
+    D: Send + Sync,
+    const N: usize,
+>(
+    converter: C,
+    prefiltered_peaks: &RE,
+    min_n: usize,
+    min_intensity: u64,
+    def_aggregator: F,
+    extra_filter_fun: Option<&(dyn Fn(&D) -> bool + Send + Sync)>,
+    log_level: Option<utils::LogLevel>,
+    keep_unclustered: bool,
+    max_extension_distances: &[f32; N],
+    back_converter: Option<C2>,
+) -> Vec<R>
+where
+    <RE as IntoIterator>::IntoIter: ExactSizeIterator,
+{
+    let show_progress = log_level.is_some();
+    let log_level = match log_level {
+        Some(x) => x,
+        None => utils::LogLevel::TRACE,
+    };
+
+    let timer = utils::ContextTimer::new("dbscan_generic", true, log_level);
+    let mut i_timer = timer.start_sub_timer("conversion");
+    let (ndpoints, boundary) = converter.convert_aggregables(prefiltered_peaks);
+    i_timer.stop(true);
+
+    let mut i_timer = timer.start_sub_timer("tree");
+    let mut tree = RadiusKDTree::new_empty(boundary, 500, 1.);
+    let quad_indices = (0..ndpoints.len()).collect::<Vec<_>>();
+
+    for (quad_point, i) in ndpoints.iter().zip(quad_indices.iter()) {
+        tree.insert_ndpoint(*quad_point, i);
+    }
+    i_timer.stop(true);
+
+    let centroids = dbscan_aggregate(
+        prefiltered_peaks,
+        &ndpoints,
+        &tree,
+        timer,
+        min_n,
+        min_intensity,
+        &def_aggregator,
+        extra_filter_fun,
+        log_level,
+        keep_unclustered,
+        max_extension_distances,
+        show_progress,
+    );
+
+    match back_converter {
+        Some(bc) => reassign_centroid(
+            centroids,
+            &tree,
+            bc,
+            prefiltered_peaks,
+            &def_aggregator,
+            log_level,
+            max_extension_distances,
+            None,
+            None,
+        ),
+        None => centroids,
+    }
+}
+
+pub fn dbscan_aggregate<
+    'a,
+    const N: usize,
+    RE: IntenseAtIndex
+        + DistantAtIndex<D>
+        + AsAggregableAtIndex<T>
+        + Send
+        + Sync
+        + std::fmt::Debug
+        + ?Sized,
+    IND: QueriableIndexedPoints<N> + std::marker::Sync + Send + std::fmt::Debug,
+    NAI: AsNDPointsAtIndex<N> + std::marker::Sync + Send,
+    T: HasIntensity + Send + Clone + Copy + Sync,
+    D: Send + Sync,
+    G: Sync + Send + ClusterAggregator<T, R>,
+    R: Send,
+    F: Fn() -> G + Send + Sync,
+>(
+    prefiltered_peaks: &'a RE,
+    ndpoints: &'a NAI,
+    index: &'a IND,
+    timer: ContextTimer,
+    min_n: usize,
+    min_intensity: u64,
+    def_aggregator: F,
+    extra_filter_fun: Option<&'a (dyn Fn(&D) -> bool + Send + Sync)>,
+    log_level: utils::LogLevel,
+    keep_unclustered: bool,
+    max_extension_distances: &'a [f32; N],
+    show_progress: bool,
+) -> Vec<R> {
+    let mut i_timer = timer.start_sub_timer("pre-sort");
+    let intensity_sorted_indices = prefiltered_peaks.intensity_sorted_indices();
+
+    i_timer.stop(true);
+
+    let mut i_timer = timer.start_sub_timer("dbscan");
+    let cluster_labels = dbscan_label_clusters(
+        index,
+        prefiltered_peaks,
+        ndpoints,
+        min_n,
+        min_intensity,
+        intensity_sorted_indices,
+        extra_filter_fun,
+        show_progress,
+        max_extension_distances,
+    );
+    i_timer.stop(true);
+
+    aggregate_clusters(
+        cluster_labels.num_clusters,
+        cluster_labels.cluster_labels,
+        prefiltered_peaks,
+        &def_aggregator,
+        log_level,
+        keep_unclustered,
+    )
+}
diff --git a/src/aggregation/dbscan/denseframe_dbscan.rs b/src/aggregation/dbscan/denseframe_dbscan.rs
new file mode 100644
index 0000000..a0be7a6
--- /dev/null
+++ b/src/aggregation/dbscan/denseframe_dbscan.rs
@@ -0,0 +1,127 @@
+use timsrust::MSLevel;
+
+use crate::aggregation::aggregators::TimsPeakAggregator;
+use crate::aggregation::converters::{
+    BypassDenseFrameBackConverter,
+    DenseFrameConverter,
+};
+use crate::aggregation::dbscan::dbscan::dbscan_generic;
+use crate::ms::frames::{
+    DenseFrame,
+    TimsPeak,
+};
+use crate::space::space_generics::{
+    AsAggregableAtIndex,
+    DistantAtIndex,
+    IntenseAtIndex,
+};
+use crate::utils::within_distance_apply;
+
+// <FF: Send + Sync + Fn(&TimsPeak, &TimsPeak) -> bool>
+pub fn dbscan_denseframe(
+    mut denseframe: DenseFrame,
+    mz_scaling: f64,
+    max_mz_extension: f64,
+    ims_scaling: f32,
+    max_ims_extension: f32,
+    min_n: usize,
+    min_intensity: u64,
+) -> DenseFrame {
+    let out_acq_type: timsrust::AcquisitionType = denseframe.acquisition_type;
+    let out_rt: f64 = denseframe.rt;
+    let out_index: usize = denseframe.index;
+    let out_ms_level: MSLevel = denseframe.ms_level;
+    let out_window_group_id = denseframe.window_group_id;
+    let out_correction_factor = denseframe.intensity_correction_factor;
+
+    let prefiltered_peaks = {
+        denseframe.sort_by_mz();
+
+        let keep_vector = within_distance_apply(
+            &denseframe.raw_peaks,
+            &|peak| peak.mz,
+            &mz_scaling,
+            &|i_right, i_left| (i_right - i_left) >= min_n,
+        );
+
+        // Filter the peaks and replace the raw peaks with the filtered peaks.
+
+        denseframe
+            .raw_peaks
+            .clone()
+            .into_iter()
+            .zip(keep_vector)
+            .filter(|(_, b)| *b)
+            .map(|(peak, _)| peak) // Clone the TimsPeak
+            .collect::<Vec<_>>()
+    };
+
+    let converter = DenseFrameConverter {
+        mz_scaling,
+        ims_scaling,
+    };
+    let peak_vec: Vec<TimsPeak> = dbscan_generic(
+        converter,
+        &prefiltered_peaks,
+        min_n,
+        min_intensity,
+        TimsPeakAggregator::default,
+        None::<&(dyn Fn(&f32) -> bool + Send + Sync)>,
+        None,
+        true,
+        &[max_mz_extension as f32, max_ims_extension],
+        None::<BypassDenseFrameBackConverter>,
+    );
+
+    DenseFrame {
+        raw_peaks: peak_vec,
+        index: out_index,
+        rt: out_rt,
+        acquisition_type: out_acq_type,
+        sorted: None,
+        ms_level: out_ms_level,
+        window_group_id: out_window_group_id,
+        intensity_correction_factor: out_correction_factor,
+    }
+}
+
+impl IntenseAtIndex for Vec<TimsPeak> {
+    fn intensity_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        self[index].intensity as u64
+    }
+    fn intensity_index_length(&self) -> usize {
+        self.len()
+    }
+}
+
+impl AsAggregableAtIndex<TimsPeak> for Vec<TimsPeak> {
+    fn get_aggregable_at_index(
+        &self,
+        index: usize,
+    ) -> TimsPeak {
+        self[index]
+    }
+
+    fn num_aggregable(&self) -> usize {
+        self.len()
+    }
+}
+
+impl DistantAtIndex<f32> for Vec<TimsPeak> {
+    fn distance_at_indices(
+        &self,
+        _index: usize,
+        _other: usize,
+    ) -> f32 {
+        panic!("I dont think this is called ever ...");
+        // let mut sum = 0.0;
+        // let diff_mz = (self[index].mz - self[other].mz) as f32;
+        // sum += diff_mz * diff_mz;
+        // let diff_ims = self[index].mobility - self[other].mobility;
+        // sum += diff_ims * diff_ims;
+        // sum.sqrt()
+    }
+}
diff --git a/src/aggregation/dbscan/mod.rs b/src/aggregation/dbscan/mod.rs
new file mode 100644
index 0000000..2fd3bb8
--- /dev/null
+++ b/src/aggregation/dbscan/mod.rs
@@ -0,0 +1,4 @@
+pub mod dbscan;
+pub mod denseframe_dbscan;
+pub mod runner;
+pub mod utils;
diff --git a/src/aggregation/dbscan/runner.rs b/src/aggregation/dbscan/runner.rs
new file mode 100644
index 0000000..bcbf40b
--- /dev/null
+++ b/src/aggregation/dbscan/runner.rs
@@ -0,0 +1,876 @@
+use core::fmt::Debug;
+use std::marker::PhantomData;
+use std::sync::Arc;
+
+use indicatif::ProgressIterator;
+use log::debug;
+
+use crate::aggregation::aggregators::ClusterLabel;
+use crate::aggregation::dbscan::utils::FilterFunCache;
+use crate::space::space_generics::{
+    AsAggregableAtIndex,
+    AsNDPointsAtIndex,
+    DistantAtIndex,
+    IntenseAtIndex,
+    NDBoundary,
+    NDPoint,
+    QueriableIndexedPoints,
+};
+use crate::utils;
+
+/// Density-based spatial clustering of applications with noise (DBSCAN)
+///
+/// This module implements a variant of dbscan with a couple of modifications
+/// with respect to the vanilla implementation.
+///
+/// Pseudocode from wikipedia.
+/// Donate to wikipedia y'all. :3
+//
+/// DBSCAN(DB, distFunc, eps, minPts) {
+///     C := 0                                                  /* Cluster counter */
+///     for each point P in database DB {
+///         if label(P) ≠ undefined then continue               /* Previously processed in inner loop */
+///         Neighbors N := RangeQuery(DB, distFunc, P, eps)     /* Find neighbors */
+///         if |N| < minPts then {                              /* Density check */
+///             label(P) := Noise                               /* Label as Noise */
+///             continue
+///         }
+///         C := C + 1                                          /* next cluster label */
+///         label(P) := C                                       /* Label initial point */
+///         SeedSet S := N \ {P}                                /* Neighbors to expand */
+///         for each point Q in S {                             /* Process every seed point Q */
+///             if label(Q) = Noise then label(Q) := C          /* Change Noise to border point */
+///             if label(Q) ≠ undefined then continue           /* Previously processed (e.g., border point) */
+///             label(Q) := C                                   /* Label neighbor */
+///             Neighbors N := RangeQuery(DB, distFunc, Q, eps) /* Find neighbors */
+///             if |N| ≥ minPts then {                          /* Density check (if Q is a core point) */
+///                 S := S ∪ N                                  /* Add new neighbors to seed set */
+///             }
+///         }
+///     }
+/// }
+/// Variations ...
+/// 1. Indexing is am implementation detail to find the neighbors (generic indexer)
+/// 2. Sort the pointd by decreasing intensity (more intense points adopt first).
+/// 3. Use an intensity threshold intead of a minimum number of neighbors.
+/// 4. There are ways to define the limits to the extension of a cluster.
+
+#[derive(Debug, Clone)]
+pub struct ClusterLabels {
+    pub cluster_labels: Vec<ClusterLabel<u64>>,
+    pub num_clusters: u64,
+}
+
+impl ClusterLabels {
+    fn new(num_labels: usize) -> Self {
+        let cluster_labels = vec![ClusterLabel::Unassigned; num_labels];
+        Self {
+            cluster_labels,
+            num_clusters: 0,
+        }
+    }
+
+    fn set_cluster(
+        &mut self,
+        index: usize,
+        cluster_id: u64,
+    ) {
+        self.cluster_labels[index] = ClusterLabel::Cluster(cluster_id);
+    }
+
+    fn set_new_cluster(
+        &mut self,
+        index: usize,
+    ) {
+        self.num_clusters += 1;
+        self.set_cluster(index, self.num_clusters);
+    }
+
+    fn set_current_cluster(
+        &mut self,
+        index: usize,
+    ) {
+        let cluster_id = self.num_clusters;
+        self.set_cluster(index, cluster_id);
+    }
+
+    fn set_noise(
+        &mut self,
+        index: usize,
+    ) {
+        self.cluster_labels[index] = ClusterLabel::Noise;
+    }
+
+    fn get(
+        &self,
+        index: usize,
+    ) -> ClusterLabel<u64> {
+        self.cluster_labels[index]
+    }
+}
+
+struct DBScanTimers {
+    main: utils::ContextTimer,
+    // TODO aux timers can probably be a hashmap
+    filter_fun_cache_timer: utils::ContextTimer,
+    outer_loop_nn_timer: utils::ContextTimer,
+    inner_loop_nn_timer: utils::ContextTimer,
+    local_neighbor_filter_timer: utils::ContextTimer,
+    outer_intensity_calculation: utils::ContextTimer,
+    inner_intensity_calculation: utils::ContextTimer,
+}
+
+impl DBScanTimers {
+    fn new() -> Self {
+        let timer = utils::ContextTimer::new("internal_dbscan", false, utils::LogLevel::DEBUG);
+        let filter_fun_cache_timer = timer.start_sub_timer("filter_fun_cache");
+        let outer_loop_nn_timer = timer.start_sub_timer("outer_loop_nn");
+        let inner_loop_nn_timer = timer.start_sub_timer("inner_loop_nn");
+        let local_neighbor_filter_timer = timer.start_sub_timer("local_neighbor_filter");
+        let outer_intensity_calculation = timer.start_sub_timer("outer_intensity_calculation");
+        let inner_intensity_calculation = timer.start_sub_timer("inner_intensity_calculation");
+        Self {
+            main: timer,
+            filter_fun_cache_timer,
+            outer_loop_nn_timer,
+            inner_loop_nn_timer,
+            local_neighbor_filter_timer,
+            outer_intensity_calculation,
+            inner_intensity_calculation,
+        }
+    }
+
+    fn report_if_gt_us(
+        &self,
+        min_time: u128,
+    ) {
+        if self.main.cumtime.as_micros() > min_time {
+            self.main.report();
+            self.filter_fun_cache_timer.report();
+            self.outer_loop_nn_timer.report();
+            self.inner_loop_nn_timer.report();
+            self.local_neighbor_filter_timer.report();
+            self.outer_intensity_calculation.report();
+            self.inner_intensity_calculation.report();
+        }
+    }
+}
+
+struct CandidateCountMetrics {
+    initial_candidates_counts: utils::RollingSDCalculator<f32, u64>,
+    final_candidates_counts: utils::RollingSDCalculator<f32, u64>,
+}
+
+impl CandidateCountMetrics {
+    fn new() -> Self {
+        Self {
+            initial_candidates_counts: utils::RollingSDCalculator::default(),
+            final_candidates_counts: utils::RollingSDCalculator::default(),
+        }
+    }
+}
+
+struct DBSCANRunnerState {
+    cluster_labels: ClusterLabels,
+    filter_fun_cache: Option<FilterFunCache>,
+    timers: DBScanTimers,
+    candidate_metrics: CandidateCountMetrics,
+}
+
+impl DBSCANRunnerState {
+    fn new<P>(
+        nlabels: usize,
+        usize_filterfun: Option<P>,
+    ) -> Self
+    where
+        P: Fn(&usize, &usize) -> bool + Send + Sync,
+    {
+        let cluster_labels = ClusterLabels::new(nlabels);
+
+        let filter_fun_cache = usize_filterfun.map(|_| FilterFunCache::new(nlabels));
+        //FilterFunCache::new(Box::new(&usize_filterfun), nlabels);
+        let timers = DBScanTimers::new();
+        let candidate_metrics = CandidateCountMetrics::new();
+
+        Self {
+            cluster_labels,
+            filter_fun_cache,
+            timers,
+            candidate_metrics,
+        }
+    }
+
+    fn create_progress_bar(
+        &self,
+        len: usize,
+        visible: bool,
+    ) -> indicatif::ProgressBar {
+        if visible {
+            indicatif::ProgressBar::new(len as u64)
+        } else {
+            indicatif::ProgressBar::hidden()
+        }
+    }
+}
+
+struct DBSCANRunner<'a, const N: usize, D, FF>
+where
+    FF: Fn(&D) -> bool + Send + Sync + ?Sized,
+    D: Send + Sync,
+{
+    min_n: usize,
+    min_intensity: u64,
+    filter_fun: Option<&'a FF>,
+    progress: bool,
+    max_extension_distances: &'a [f32; N],
+    _phantom: PhantomData<D>,
+}
+
+impl<'a, const N: usize, D, FF> Debug for DBSCANRunner<'a, N, D, FF>
+where
+    FF: Fn(&D) -> bool + Send + Sync + ?Sized,
+    D: Send + Sync,
+{
+    fn fmt(
+        &self,
+        f: &mut std::fmt::Formatter<'_>,
+    ) -> std::fmt::Result {
+        f.debug_struct("DBSCANRunner")
+            .field("min_n", &self.min_n)
+            .field("min_intensity", &self.min_intensity)
+            .field("filter_fun", &"Some<Fn(&f32) -> bool>???")
+            .field("progress", &self.progress)
+            .field("max_extension_distances", &self.max_extension_distances)
+            .finish()
+    }
+}
+
+#[derive(Clone)]
+struct DBSCANPoints<'a, const N: usize, PP, PE, DAI, E, QIP>
+where
+    PP: IntenseAtIndex + Send + Sync + ?Sized,
+    PE: AsNDPointsAtIndex<N> + Send + Sync + ?Sized,
+    DAI: DistantAtIndex<E> + ?Sized,
+    QIP: QueriableIndexedPoints<N> + Sync,
+{
+    raw_elements: &'a PP, // &'a Vec<E>,
+    intensity_sorted_indices: Vec<(usize, u64)>,
+    indexed_points: &'a QIP,
+    projected_elements: &'a PE, // [NDPoint<N>],
+    raw_dist: &'a DAI,
+    _phantom_metric: PhantomData<E>,
+}
+
+impl<'a, const N: usize, PP, QQ, DAI, E, QIP> QueriableIndexedPoints<N>
+    for DBSCANPoints<'a, N, PP, QQ, DAI, E, QIP>
+where
+    PP: IntenseAtIndex + Send + Sync + ?Sized,
+    QQ: AsNDPointsAtIndex<N> + Send + Sync + ?Sized,
+    DAI: DistantAtIndex<E> + ?Sized,
+    QIP: QueriableIndexedPoints<N> + Sync,
+{
+    fn query_ndpoint(
+        &self,
+        point: &NDPoint<N>,
+    ) -> Vec<usize> {
+        self.indexed_points.query_ndpoint(point)
+    }
+
+    fn query_ndrange(
+        &self,
+        boundary: &NDBoundary<N>,
+        reference_point: Option<&NDPoint<N>>,
+    ) -> Vec<usize> {
+        self.indexed_points.query_ndrange(boundary, reference_point)
+    }
+}
+
+impl<'a, const N: usize, PP, QQ, DAI, E, QIP> DistantAtIndex<E>
+    for DBSCANPoints<'a, N, PP, QQ, DAI, E, QIP>
+where
+    PP: IntenseAtIndex + Sync + Send + ?Sized,
+    QQ: AsNDPointsAtIndex<N> + Send + Sync + ?Sized,
+    DAI: DistantAtIndex<E> + ?Sized,
+    QIP: QueriableIndexedPoints<N> + std::marker::Sync,
+{
+    fn distance_at_indices(
+        &self,
+        a: usize,
+        b: usize,
+    ) -> E {
+        self.raw_dist.distance_at_indices(a, b)
+    }
+}
+
+impl<'a, const N: usize, PP, QQ, D, E, QIP> IntenseAtIndex
+    for DBSCANPoints<'a, N, PP, QQ, D, E, QIP>
+where
+    PP: IntenseAtIndex + std::marker::Send + Sync + ?Sized,
+    QQ: AsNDPointsAtIndex<N> + Send + Sync + ?Sized,
+    D: DistantAtIndex<E> + ?Sized,
+    QIP: QueriableIndexedPoints<N> + std::marker::Sync,
+{
+    fn intensity_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        self.raw_elements.intensity_at_index(index)
+    }
+
+    fn weight_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        self.raw_elements.weight_at_index(index)
+    }
+
+    fn intensity_index_length(&self) -> usize {
+        self.raw_elements.intensity_index_length()
+    }
+}
+
+impl<'a, const N: usize, PP, QQ, D, E, QIP> AsNDPointsAtIndex<N>
+    for DBSCANPoints<'a, N, PP, QQ, D, E, QIP>
+where
+    PP: IntenseAtIndex + std::marker::Send + Sync + ?Sized,
+    QQ: AsNDPointsAtIndex<N> + Send + Sync + ?Sized,
+    D: DistantAtIndex<E> + ?Sized,
+    QIP: QueriableIndexedPoints<N> + std::marker::Sync,
+{
+    fn get_ndpoint(
+        &self,
+        index: usize,
+    ) -> NDPoint<N> {
+        self.projected_elements.get_ndpoint(index)
+    }
+
+    fn num_ndpoints(&self) -> usize {
+        self.projected_elements.num_ndpoints()
+    }
+}
+
+impl<'c, 'b: 'c, 'a: 'b, const N: usize, D, FF> DBSCANRunner<'b, N, D, FF>
+where
+    D: Sync + Send + 'a,
+    FF: Fn(&D) -> bool + Send + Sync + 'a + ?Sized,
+{
+    fn run<PP, PE, DAI, QIP>(
+        &self,
+        raw_elements: &'a PP, // Vec<E>, // trait impl Index<usize, Output=E>
+        intensity_sorted_indices: Vec<(usize, u64)>,
+        indexed_points: &'a QIP,
+        projected_elements: &'a PE, //[NDPoint<N>], // trait impl AsNDPointAtIndex<usize, Output=NDPoint<N>>
+        raw_distance_calculator: &'a DAI,
+    ) -> ClusterLabels
+    where
+        PP: IntenseAtIndex + Send + Sync + ?Sized,
+        PE: AsNDPointsAtIndex<N> + Send + Sync + ?Sized,
+        DAI: DistantAtIndex<D> + Send + Sync + ?Sized,
+        QIP: QueriableIndexedPoints<N> + std::marker::Sync + std::fmt::Debug,
+    {
+        if self.progress {
+            debug!("Starting DBSCAN");
+            debug!("Params: {:?}", self);
+        }
+        let usize_filterfun = match self.filter_fun {
+            Some(filterfun) => {
+                let cl = |a: &usize, b: &usize| {
+                    filterfun(&raw_distance_calculator.distance_at_indices(*a, *b))
+                };
+
+                Some(cl)
+            },
+            None => None,
+        };
+
+        let mut state = DBSCANRunnerState::new(intensity_sorted_indices.len(), usize_filterfun);
+
+        debug_assert!(intensity_sorted_indices.len() == raw_elements.intensity_index_length());
+        debug_assert!(intensity_sorted_indices.len() == projected_elements.num_ndpoints());
+        // trace!("Index: {:?}", indexed_points);
+
+        let points: DBSCANPoints<N, PP, PE, DAI, D, QIP> = DBSCANPoints {
+            raw_elements,
+            intensity_sorted_indices,
+            indexed_points,
+            projected_elements,
+            raw_dist: raw_distance_calculator,
+            _phantom_metric: PhantomData,
+        };
+        // Q: if filter fun is required ... why is it an option?
+        state = self.process_points(state, Arc::new(points));
+        state = self.report_timers(state);
+
+        self.take_cluster_labels(state)
+    }
+
+    fn report_timers(
+        &self,
+        mut state: DBSCANRunnerState,
+    ) -> DBSCANRunnerState {
+        state.timers.main.stop(false);
+        state.timers.report_if_gt_us(1000000);
+        state
+    }
+
+    fn take_cluster_labels(
+        &self,
+        state: DBSCANRunnerState,
+    ) -> ClusterLabels {
+        if self.progress {
+            debug!("Finished DBSCAN");
+            debug!(
+                "Exporting Num clusters: {}",
+                state.cluster_labels.num_clusters
+            );
+        }
+        state.cluster_labels
+    }
+
+    fn process_points<PP, PE, DAI, QIP>(
+        &self,
+        mut state: DBSCANRunnerState,
+        points: Arc<DBSCANPoints<'a, N, PP, PE, DAI, D, QIP>>,
+    ) -> DBSCANRunnerState
+    where
+        PP: IntenseAtIndex + Send + Sync + ?Sized,
+        PE: AsNDPointsAtIndex<N> + Sync + Send + ?Sized,
+        DAI: DistantAtIndex<D> + Send + Sync + ?Sized,
+        QIP: QueriableIndexedPoints<N> + std::marker::Sync,
+    {
+        let my_progbar =
+            state.create_progress_bar(points.intensity_sorted_indices.len(), self.progress);
+
+        for (point_index, _intensity) in points
+            .intensity_sorted_indices
+            .iter()
+            .progress_with(my_progbar)
+        {
+            self.process_single_point(
+                *point_index,
+                Arc::clone(&points),
+                &mut state.cluster_labels,
+                &mut state.filter_fun_cache,
+                &mut state.timers,
+                &mut state.candidate_metrics,
+            );
+        }
+        state
+    }
+
+    /// This method gets applied to every point in decreasing intensity order.
+    fn process_single_point<PP, PE, DAI, QIP>(
+        &'b self,
+        point_index: usize,
+        points: Arc<DBSCANPoints<'a, N, PP, PE, DAI, D, QIP>>,
+        cluster_labels: &mut ClusterLabels,
+        filter_fun_cache: &mut Option<FilterFunCache>,
+        timers: &mut DBScanTimers,
+        cc_metrics: &mut CandidateCountMetrics,
+    ) where
+        PP: IntenseAtIndex + Send + Sync + ?Sized,
+        PE: AsNDPointsAtIndex<N> + Send + Sync + ?Sized,
+        DAI: DistantAtIndex<D> + Send + Sync + ?Sized,
+        QIP: QueriableIndexedPoints<N> + Sync,
+    {
+        if cluster_labels.get(point_index) != ClusterLabel::Unassigned {
+            return;
+        }
+
+        let neighbors = self.find_main_loop_neighbors(
+            point_index,
+            Arc::clone(&points),
+            filter_fun_cache,
+            timers,
+            cc_metrics,
+        );
+
+        // trace!("Neighbors: {:?}", neighbors);
+
+        if !self.is_core_point(&neighbors, Arc::clone(&points), timers) {
+            cluster_labels.set_noise(point_index);
+            return;
+        }
+
+        self.main_loop_expand_cluster(
+            point_index,
+            neighbors,
+            points,
+            cluster_labels,
+            filter_fun_cache,
+            timers,
+        );
+    }
+
+    fn find_main_loop_neighbors<PTS>(
+        &self,
+        point_index: usize,
+        points: Arc<PTS>,
+        filter_fun_cache: &mut Option<FilterFunCache>,
+        timers: &mut DBScanTimers,
+        cc_metrics: &mut CandidateCountMetrics,
+    ) -> Vec<usize>
+    where
+        PTS: AsNDPointsAtIndex<N>
+            + DistantAtIndex<D>
+            + QueriableIndexedPoints<N>
+            + IntenseAtIndex
+            + Send
+            + Sync
+            + ?Sized,
+    {
+        timers.outer_loop_nn_timer.reset_start();
+        let binding = points.get_ndpoint(point_index);
+        let mut candidate_neighbors = points.query_ndpoint(&binding);
+        // Every point should have at least itself as a neighbor.
+        debug_assert!(
+            !candidate_neighbors.is_empty(),
+            "No neighbors found, {}, {:?}, at least itself should be a neighbor",
+            point_index,
+            binding
+        );
+
+        // trace!("Query elems: {:?}", query_elems);
+        // trace!("Candidate neighbors: {:?}", candidate_neighbors);
+        if cfg!(debug_assertions) {
+            let max_i = candidate_neighbors.iter().max().unwrap();
+            // Make sure all generated neighbors are within the bounds.
+            assert!(
+                *max_i < points.num_ndpoints(),
+                "Index: {} out of proj elems bounds",
+                max_i,
+            );
+            assert!(
+                *max_i < points.intensity_index_length(),
+                "Index: {} out of intensity bounds",
+                max_i
+            );
+        }
+        timers.outer_loop_nn_timer.stop(false);
+
+        if filter_fun_cache.is_none() {
+            return candidate_neighbors;
+        }
+
+        let num_initial_candidates = candidate_neighbors.len();
+        candidate_neighbors.retain(|i| {
+            let tmp = filter_fun_cache.as_mut().unwrap();
+            let res_in_cache = tmp.get(*i, point_index);
+            match res_in_cache {
+                Some(res) => res,
+                None => {
+                    let res =
+                        (self.filter_fun.unwrap())(&points.distance_at_indices(*i, point_index));
+                    tmp.set(*i, point_index, res);
+                    res
+                },
+            }
+        });
+
+        let neighbors = candidate_neighbors;
+        let candidates_after_filter = neighbors.len();
+        cc_metrics
+            .initial_candidates_counts
+            .add(num_initial_candidates as f32, 1);
+        cc_metrics
+            .final_candidates_counts
+            .add(candidates_after_filter as f32, 1);
+
+        neighbors
+    }
+
+    fn is_core_point<PP>(
+        &self,
+        neighbors: &[usize],
+        points: Arc<PP>,
+        timers: &mut DBScanTimers,
+    ) -> bool
+    where
+        PP: IntenseAtIndex + Send + ?Sized,
+    {
+        timers.outer_intensity_calculation.reset_start();
+        let neighbor_intensity_total = neighbors
+            .iter()
+            .map(|i| points.intensity_at_index(*i))
+            .sum::<u64>();
+        timers.outer_intensity_calculation.stop(false);
+        neighbor_intensity_total >= self.min_intensity
+    }
+
+    fn main_loop_expand_cluster<PP, PE, DAI, QIP>(
+        &self,
+        apex_point_index: usize,
+        neighbors: Vec<usize>,
+        points: Arc<DBSCANPoints<'a, N, PP, PE, DAI, D, QIP>>,
+        cluster_labels: &mut ClusterLabels,
+        filter_fun_cache: &mut Option<FilterFunCache>,
+        timers: &mut DBScanTimers,
+    ) where
+        PP: IntenseAtIndex + Sync + Send + ?Sized,
+        PE: AsNDPointsAtIndex<N> + Send + Sync + ?Sized,
+        DAI: DistantAtIndex<D> + Send + Sync + ?Sized,
+        QIP: QueriableIndexedPoints<N> + std::marker::Sync,
+    {
+        cluster_labels.set_new_cluster(apex_point_index);
+        let mut seed_set: Vec<usize> = neighbors;
+
+        while let Some(neighbor_index) = seed_set.pop() {
+            if !self.process_neighbor(neighbor_index, cluster_labels) {
+                continue;
+            }
+
+            let local_neighbors =
+                self.find_local_neighbors(neighbor_index, Arc::clone(&points), timers);
+            let filtered_neighbors = self.filter_neighbors_inner_loop(
+                local_neighbors,
+                apex_point_index,
+                neighbor_index,
+                Arc::clone(&points),
+                cluster_labels,
+                filter_fun_cache,
+                timers,
+            );
+
+            seed_set.extend(filtered_neighbors);
+        }
+    }
+
+    fn process_neighbor(
+        &self,
+        neighbor_index: usize,
+        cluster_labels: &mut ClusterLabels,
+    ) -> bool {
+        match cluster_labels.get(neighbor_index) {
+            ClusterLabel::Noise => {
+                cluster_labels.set_current_cluster(neighbor_index);
+                true
+            },
+            ClusterLabel::Unassigned => {
+                cluster_labels.set_current_cluster(neighbor_index);
+                true
+            },
+            ClusterLabel::Cluster(_) => false,
+        }
+    }
+
+    fn find_local_neighbors<PTS>(
+        &self,
+        neighbor_index: usize,
+        points: Arc<PTS>,
+        timers: &mut DBScanTimers,
+    ) -> Vec<usize>
+    where
+        PTS: AsNDPointsAtIndex<N> + ?Sized + QueriableIndexedPoints<N> + std::marker::Sync + 'a,
+    {
+        timers.inner_loop_nn_timer.reset_start();
+        let binding = Arc::clone(&points).get_ndpoint(neighbor_index);
+        let local_neighbors: Vec<usize> = points.query_ndpoint(&binding).to_vec();
+        // Should I warn if nothing is gotten here?
+        // every point should have at least itself as a neighbor ...
+        debug_assert!(!local_neighbors.is_empty());
+        timers.inner_loop_nn_timer.stop(false);
+        local_neighbors
+    }
+
+    fn filter_neighbors_inner_loop<PTS>(
+        &self,
+        local_neighbors: Vec<usize>,
+        cluster_apex_point_index: usize,
+        current_center_point_index: usize,
+        points: Arc<PTS>,
+        cluster_labels: &ClusterLabels,
+        filter_fun_cache: &mut Option<FilterFunCache>,
+        timers: &mut DBScanTimers,
+    ) -> Vec<usize>
+    where
+        PTS:
+            IntenseAtIndex + Send + AsNDPointsAtIndex<N> + DistantAtIndex<D> + Send + Sync + ?Sized,
+    {
+        let filtered = self.apply_filter_fun(
+            local_neighbors,
+            cluster_apex_point_index,
+            Arc::clone(&points),
+            filter_fun_cache,
+        );
+
+        if !self.is_extension_core_point(
+            &filtered,
+            current_center_point_index,
+            Arc::clone(&points),
+            timers,
+        ) {
+            return Vec::new();
+        }
+
+        let unassigned = self.filter_unassigned(filtered, cluster_labels);
+        let unassigned_in_global_distance = self.filter_by_apex_distance(
+            unassigned,
+            cluster_apex_point_index,
+            Arc::clone(&points),
+            timers,
+        );
+        self.filter_by_local_intensity_and_distance(
+            unassigned_in_global_distance,
+            current_center_point_index,
+            Arc::clone(&points),
+            timers,
+        )
+    }
+
+    fn filter_by_apex_distance<PTS>(
+        &self,
+        mut neighbors: Vec<usize>,
+        apex_point_index: usize,
+        points: Arc<PTS>,
+        timers: &mut DBScanTimers,
+    ) -> Vec<usize>
+    where
+        PTS: AsNDPointsAtIndex<N> + ?Sized,
+    {
+        timers.local_neighbor_filter_timer.reset_start();
+        let query_point = &points.get_ndpoint(apex_point_index);
+        neighbors.retain(|&i| self.is_within_max_distance(&points.get_ndpoint(i), query_point));
+        timers.local_neighbor_filter_timer.stop(false);
+        neighbors
+    }
+
+    fn is_extension_core_point<PTS>(
+        &self,
+        neighbors: &[usize],
+        current_center_point_index: usize,
+        points: Arc<PTS>,
+        timers: &mut DBScanTimers,
+    ) -> bool
+    where
+        PTS: IntenseAtIndex + Sync + Send + ?Sized,
+    {
+        timers.inner_intensity_calculation.reset_start();
+        let mut neighbor_intensity_total: u64 = neighbors
+            .iter()
+            .map(|&i| points.intensity_at_index(i))
+            .sum();
+
+        neighbor_intensity_total += points.intensity_at_index(current_center_point_index);
+        timers.inner_intensity_calculation.stop(false);
+
+        neighbors.len() >= self.min_n && neighbor_intensity_total >= self.min_intensity
+    }
+
+    /// This is mean to apply additional filter logic that considers
+    /// elements that are not only represented by the 'space' of the points
+    /// or the intensity.
+    ///
+    /// Some examples might be if every point represents say ... a chromatogram
+    /// one could pass a function that checks if the chromatograms a high correlation.
+    /// Because two might share the same point in space, intensity is not really
+    /// relevant but co-elution might be critical.
+    fn apply_filter_fun<PTS>(
+        &self,
+        local_neighbors: Vec<usize>,
+        point_index: usize,
+        points: Arc<PTS>,
+        filter_fun_cache: &mut Option<FilterFunCache>,
+    ) -> Vec<usize>
+    where
+        PTS: DistantAtIndex<D> + IntenseAtIndex + Sync + Send + ?Sized,
+    {
+        if let Some(cache) = filter_fun_cache {
+            local_neighbors
+                .into_iter()
+                .filter(|&i| {
+                    cache.get(i, point_index).unwrap_or_else(|| {
+                        let res =
+                            (self.filter_fun.unwrap())(&points.distance_at_indices(i, point_index));
+                        cache.set(i, point_index, res);
+                        res
+                    })
+                })
+                .collect()
+        } else {
+            local_neighbors
+        }
+    }
+
+    fn filter_unassigned(
+        &self,
+        mut neighbors: Vec<usize>,
+        cluster_labels: &ClusterLabels,
+    ) -> Vec<usize> {
+        neighbors.retain(|&i| matches!(cluster_labels.get(i), ClusterLabel::Unassigned));
+        neighbors
+    }
+
+    fn filter_by_local_intensity_and_distance<PTS>(
+        &self,
+        mut neighbors: Vec<usize>,
+        neighbor_index: usize,
+        points: Arc<PTS>,
+        timers: &mut DBScanTimers,
+    ) -> Vec<usize>
+    where
+        PTS: IntenseAtIndex + AsNDPointsAtIndex<N> + Sync + Send + ?Sized,
+    {
+        timers.local_neighbor_filter_timer.reset_start();
+        let query_intensity = points.intensity_at_index(neighbor_index);
+        let query_point = &points.get_ndpoint(neighbor_index);
+
+        neighbors.retain(|&i| {
+            let going_downhill = points.intensity_at_index(i) <= query_intensity;
+            let within_distance = self.is_within_max_distance(&points.get_ndpoint(i), query_point);
+            going_downhill && within_distance
+        });
+
+        timers.local_neighbor_filter_timer.stop(false);
+        neighbors
+    }
+
+    fn is_within_max_distance(
+        &self,
+        p: &NDPoint<N>,
+        query_point: &NDPoint<N>,
+    ) -> bool {
+        p.values
+            .iter()
+            .zip(query_point.values)
+            .zip(self.max_extension_distances.iter())
+            .all(|((p, q), max_dist)| (p - q).abs() <= *max_dist)
+    }
+}
+
+pub fn dbscan_label_clusters<
+    'a,
+    const N: usize,
+    RE: IntenseAtIndex + DistantAtIndex<D> + Send + Sync + AsAggregableAtIndex<E> + ?Sized,
+    T: QueriableIndexedPoints<N> + Send + std::marker::Sync + std::fmt::Debug,
+    PE: AsNDPointsAtIndex<N> + Send + Sync + ?Sized,
+    D: Send + Sync,
+    E: Send + Sync + Copy,
+    FF: Fn(&D) -> bool + Send + Sync + ?Sized,
+>(
+    indexed_points: &'a T,
+    raw_elements: &'a RE,
+    projected_elements: &'a PE, // [NDPoint<N>],
+    min_n: usize,
+    min_intensity: u64,
+    intensity_sorted_indices: Vec<(usize, u64)>,
+    filter_fun: Option<&'a FF>,
+    progress: bool,
+    max_extension_distances: &'a [f32; N],
+) -> ClusterLabels {
+    let runner = DBSCANRunner {
+        min_n,
+        min_intensity,
+        progress,
+        filter_fun,
+        max_extension_distances,
+        _phantom: PhantomData::<D>,
+    };
+
+    runner.run(
+        raw_elements,
+        intensity_sorted_indices,
+        indexed_points,
+        projected_elements,
+        raw_elements,
+    )
+}
diff --git a/src/aggregation/dbscan/utils.rs b/src/aggregation/dbscan/utils.rs
new file mode 100644
index 0000000..d28232f
--- /dev/null
+++ b/src/aggregation/dbscan/utils.rs
@@ -0,0 +1,78 @@
+use std::collections::BTreeMap;
+
+pub struct FilterFunCache {
+    cache: Vec<Option<BTreeMap<usize, bool>>>,
+    tot_queries: u64,
+    cached_queries: u64,
+}
+
+impl FilterFunCache {
+    pub fn new(capacity: usize) -> Self {
+        Self {
+            cache: vec![None; capacity],
+            tot_queries: 0,
+            cached_queries: 0,
+        }
+    }
+
+    pub fn get(
+        &mut self,
+        elem_idx: usize,
+        reference_idx: usize,
+    ) -> Option<bool> {
+        self.tot_queries += 1;
+
+        let out: Option<bool> = match self.cache[elem_idx] {
+            Some(ref map) => match map.get(&reference_idx) {
+                Some(x) => {
+                    self.cached_queries += 1;
+                    Some(*x)
+                },
+                None => None,
+            },
+            None => None,
+        };
+        out
+    }
+
+    pub fn set(
+        &mut self,
+        elem_idx: usize,
+        reference_idx: usize,
+        value: bool,
+    ) {
+        self.insert_both_ways(elem_idx, reference_idx, value);
+    }
+
+    fn insert_both_ways(
+        &mut self,
+        elem_idx: usize,
+        reference_idx: usize,
+        value: bool,
+    ) {
+        self.insert(elem_idx, reference_idx, value);
+        self.insert(reference_idx, elem_idx, value);
+    }
+
+    fn insert(
+        &mut self,
+        elem_idx: usize,
+        reference_idx: usize,
+        value: bool,
+    ) {
+        match self.cache[elem_idx] {
+            Some(ref mut map) => {
+                _ = map.insert(reference_idx, value);
+            },
+            None => {
+                let mut map = BTreeMap::new();
+                map.insert(reference_idx, value);
+                self.cache[elem_idx] = Some(map);
+            },
+        }
+    }
+
+    fn get_stats(&self) -> (u64, u64) {
+        (self.tot_queries, self.cached_queries)
+    }
+}
diff --git a/src/aggregation/mod.rs b/src/aggregation/mod.rs
index a3c6b6c..77473ba 100644
--- a/src/aggregation/mod.rs
+++ b/src/aggregation/mod.rs
@@ -1,5 +1,8 @@
+pub mod aggregators;
+pub mod chromatograms;
+pub mod converters;
 pub mod dbscan;
 pub mod ms_denoise;
-pub mod trace_combination;
+pub mod pseudospectra;
+pub mod queriable_collections;
 pub mod tracing;
-pub mod chromatograms;
\ No newline at end of file
diff --git a/src/aggregation/ms_denoise.rs b/src/aggregation/ms_denoise.rs
index be71368..84aeb94 100644
--- a/src/aggregation/ms_denoise.rs
+++ b/src/aggregation/ms_denoise.rs
@@ -1,19 +1,53 @@
+use core::fmt::Debug;
 use core::panic;
-
-use crate::aggregation::dbscan;
-use crate::ms::frames::Converters;
-use crate::ms::frames::DenseFrame;
-use crate::ms::frames::DenseFrameWindow;
-use crate::ms::tdf;
-use crate::ms::tdf::DIAFrameInfo;
-use crate::utils;
-use crate::visualization::RerunPlottable;
+use std::path::Path;
 
 use indicatif::ParallelProgressIterator;
-use log::{info, trace, warn};
+use log::{
+    debug,
+    info,
+    trace,
+    warn,
+};
 use rayon::prelude::*;
-use timsrust::Frame;
-use serde::{Deserialize, Serialize};
+use serde::{
+    Deserialize,
+    Serialize,
+};
+use timsrust::converters::{
+    ConvertableDomain,
+    Scan2ImConverter,
+    Tof2MzConverter,
+};
+use timsrust::{
+    AcquisitionType,
+    Frame,
+    MSLevel,
+    QuadrupoleSettings,
+    TimsRustError,
+};
+
+use super::aggregators::aggregate_clusters;
+use super::dbscan::runner::dbscan_label_clusters;
+use crate::aggregation::dbscan::denseframe_dbscan::dbscan_denseframe;
+use crate::ms::frames::frame_slice_rt_window::{
+    FrameSliceWindow,
+    RawWeightedTimsPeakAggregator,
+};
+use crate::ms::frames::{
+    Converters,
+    DenseFrame,
+    DenseFrameWindow,
+    ExpandedFrameSlice,
+    FrameSlice,
+    TimsPeak,
+};
+use crate::space::space_generics::{
+    AsNDPointsAtIndex,
+    IntenseAtIndex,
+};
+use crate::utils;
+use crate::utils::maybe_save_json_if_debugging;
 
 // TODO I can probably split the ms1 and ms2 ...
 #[derive(Debug, Serialize, Deserialize, Clone, Copy)]
@@ -79,12 +113,17 @@ fn _sanity_check_framestats(
     frame_stats_end: FrameStats,
     frame_index: usize,
 ) {
-    let intensity_ratio = frame_stats_end.tot_intensity / frame_stats_end.tot_intensity;
+    let intensity_ratio = frame_stats_start.tot_intensity / frame_stats_end.tot_intensity;
     let peak_ratio = frame_stats_end.num_peaks as f64 / frame_stats_start.num_peaks as f64;
 
     trace!(
-        "Denoising frame {} with intensity ratio {:.2}, peak_ratio {:.2}, prior_max {}, curr_max {}",
-        frame_index, intensity_ratio, peak_ratio, frame_stats_start.max_intensity, frame_stats_end.max_intensity,
+        "Denoising frame {} with intensity ratio {:.2}, peak_ratio {:.2}, prior_max {}, curr_max \
+         {}",
+        frame_index,
+        intensity_ratio,
+        peak_ratio,
+        frame_stats_start.max_intensity,
+        frame_stats_end.max_intensity,
     );
     if frame_stats_end.max_intensity < frame_stats_start.max_intensity {
         trace!(
@@ -113,11 +152,11 @@ fn _denoise_denseframe(
     max_ims_extension: f32,
 ) -> DenseFrame {
     // I am 99% sure the compiler will remove this section when optimizing ... but I still need to test it.
-    let frame_stats_start = FrameStats::new(&frame);
+    let frame_stats_start: FrameStats = FrameStats::new(&frame);
     let index = frame.index;
+
     // this is the line that matters
-    // TODO move the scalings to parameters
-    let denoised_frame = dbscan::dbscan_denseframes(
+    let denoised_frame = dbscan_denseframe(
         frame,
         mz_scaling,
         max_mz_extension,
@@ -135,128 +174,178 @@ fn _denoise_denseframe(
     denoised_frame
 }
 
-fn _denoise_dia_frame(
-    frame: Frame,
+fn denoise_frame_slice_window(
+    frameslice_window: &[ExpandedFrameSlice],
+    ims_converter: &Scan2ImConverter,
+    mz_converter: &Tof2MzConverter,
     min_n: usize,
     min_intensity: u64,
-    dia_frame_info: &DIAFrameInfo,
-    ims_converter: &timsrust::Scan2ImConverter,
-    mz_converter: &timsrust::Tof2MzConverter,
-    mz_scaling: f64,
     max_mz_extension: f64,
-    ims_scaling: f32,
     max_ims_extension: f32,
-) -> Vec<DenseFrameWindow> {
-    let frame_windows = dia_frame_info
-        .split_frame(frame)
-        .expect("Only DIA frames should be passed to this function");
+) -> DenseFrameWindow {
+    let timer = utils::ContextTimer::new("dbscan_dfs", true, utils::LogLevel::TRACE);
+    let fsw = FrameSliceWindow::new(frameslice_window);
+    let ref_frame_parent_index = fsw.window[fsw.reference_index].parent_frame_index;
+    let saved_first =
+        maybe_save_json_if_debugging(&fsw, &format!("fsw_{}", ref_frame_parent_index), false);
+
+    let mut intensity_sorted_indices = Vec::with_capacity(fsw.num_ndpoints());
+    for i in 0..fsw.num_ndpoints() {
+        // Should I only add the points in the reference frame??
+        let intensity = fsw.intensity_at_index(i);
+        intensity_sorted_indices.push((i, intensity));
+    }
+    intensity_sorted_indices.sort_unstable_by(|a, b| b.1.partial_cmp(&a.1).unwrap());
+    if cfg!(debug_assertions) {
+        // I know this should be obviously always true, but I dont trust myself
+        // and thinking about orderings.
+        let mut last_intensity = u64::MAX;
+        for (_i, intensity) in intensity_sorted_indices.iter() {
+            assert!(*intensity <= last_intensity);
+            last_intensity = *intensity;
+        }
+    }
 
-    frame_windows
+    let mut i_timer = timer.start_sub_timer("dbscan");
+    // TODO make this API better ... its kind of dumb having to "know" what each index
+    // means in the tolerances...
+    let max_extensions_use = [
+        (mz_converter.invert(1000.0 + max_mz_extension) - mz_converter.convert(1000.0)).abs()
+            as f32,
+        (ims_converter.invert(1.0 + max_ims_extension) - ims_converter.convert(1.0)).abs() as f32,
+    ];
+    let cluster_labels = dbscan_label_clusters(
+        &fsw,
+        &fsw,
+        &fsw,
+        min_n,
+        min_intensity,
+        intensity_sorted_indices,
+        None::<&(dyn Fn(&f32) -> bool + Send + Sync)>,
+        false,
+        &max_extensions_use,
+    );
+    i_timer.stop(true);
+
+    let centroids = aggregate_clusters(
+        cluster_labels.num_clusters,
+        cluster_labels.cluster_labels,
+        &fsw,
+        &RawWeightedTimsPeakAggregator::default,
+        utils::LogLevel::TRACE,
+        false,
+    );
+
+    let ref_frame = &frameslice_window[frameslice_window.len() / 2];
+    let quad_settings = ref_frame.quadrupole_settings.clone();
+
+    let mut raw_peaks: Vec<TimsPeak> = centroids
         .into_iter()
-        .map(|frame_window| {
-            let denseframe_window = DenseFrameWindow::from_frame_window(
-                frame_window,
-                ims_converter,
-                mz_converter,
-                dia_frame_info,
-            );
-            let denoised_frame = _denoise_denseframe(
-                denseframe_window.frame,
-                min_n,
-                min_intensity,
-                mz_scaling,
-                max_mz_extension,
-                ims_scaling,
-                max_ims_extension,
-            );
+        .map(|x| x.to_timspeak(mz_converter, ims_converter))
+        .collect();
 
-            DenseFrameWindow {
-                frame: denoised_frame,
-                ims_start: denseframe_window.ims_start,
-                ims_end: denseframe_window.ims_end,
-                mz_start: denseframe_window.mz_start,
-                mz_end: denseframe_window.mz_end,
-                group_id: denseframe_window.group_id,
-                quad_group_id: denseframe_window.quad_group_id,
-            }
-        })
-        .collect::<Vec<_>>()
+    raw_peaks.retain(|x| x.intensity > min_intensity as u32);
+
+    let mut min_ims = f32::INFINITY;
+    let mut max_ims = f32::NEG_INFINITY;
+
+    for peak in raw_peaks.iter() {
+        if peak.mobility < min_ims {
+            min_ims = peak.mobility;
+        }
+        if peak.mobility > max_ims {
+            max_ims = peak.mobility;
+        }
+    }
+
+    let out = DenseFrameWindow {
+        frame: DenseFrame {
+            raw_peaks,
+            index: ref_frame.parent_frame_index,
+            rt: ref_frame.rt,
+            acquisition_type: ref_frame.acquisition_type,
+            ms_level: ref_frame.ms_level,
+            sorted: None,
+            window_group_id: ref_frame.window_group_id,
+            intensity_correction_factor: ref_frame.intensity_correction_factor,
+        },
+        ims_max: max_ims,
+        ims_min: min_ims,
+        group_id: ref_frame.window_group_id.into(),
+        quadrupole_setting: quad_settings,
+    };
+    maybe_save_json_if_debugging(
+        &out,
+        &format!("dfw_out_{}", ref_frame_parent_index),
+        saved_first,
+    );
+
+    out
+}
+
+fn denoise_frame_slice(
+    frame_window: &FrameSlice,
+    ims_converter: &Scan2ImConverter,
+    mz_converter: &Tof2MzConverter,
+    min_n: usize,
+    min_intensity: u64,
+    mz_scaling: f64,
+    max_mz_extension: f64,
+    ims_scaling: f32,
+    max_ims_extension: f32,
+) -> DenseFrameWindow {
+    let denseframe_window =
+        DenseFrameWindow::from_frame_window(frame_window, ims_converter, mz_converter);
+    let denoised_frame = _denoise_denseframe(
+        denseframe_window.frame,
+        min_n,
+        min_intensity,
+        mz_scaling,
+        max_mz_extension,
+        ims_scaling,
+        max_ims_extension,
+    );
+
+    DenseFrameWindow {
+        frame: denoised_frame,
+        ims_min: denseframe_window.ims_min,
+        ims_max: denseframe_window.ims_max,
+        group_id: denseframe_window.group_id,
+        quadrupole_setting: denseframe_window.quadrupole_setting,
+    }
 }
 
 trait Denoiser<'a, T, W, X, Z>
 where
-    T: RerunPlottable<X> + std::marker::Send,
-    W: Clone + RerunPlottable<Z> + std::marker::Send,
+    T: std::marker::Send,
+    W: Clone + std::marker::Send,
     X: Clone,
     Z: Clone,
     Vec<T>: IntoParallelIterator<Item = T>,
 {
-    fn denoise(&self, frame: T) -> W;
-    // TODO maybe add a par_denoise_slice method
-    // with the implementation ...
+    fn denoise(
+        &self,
+        elem: T,
+    ) -> W;
     fn par_denoise_slice(
         &self,
-        mut frames: Vec<T>,
-        record_stream: &mut Option<rerun::RecordingStream>,
-        plotting_extras: (X, Z),
+        elems: Vec<T>,
     ) -> Vec<W>
     where
         Self: Sync,
     {
-        info!("Denoising {} frames", frames.len());
+        debug!("Denoising {} frames", elems.len());
         // randomly viz 1/200 frames
         // Selecting a slice of 1/200 frames
 
-        if let Some(stream) = record_stream.as_mut() {
-            warn!("Viz is enabled, randomly subsetting 1/200 frames");
-            let len_keep = frames.len() / 200;
-            let start = rand::random::<usize>() % (frames.len() - len_keep);
-            // let keep = [false, true, true, false, true];
-            let mut keep = vec![false; start]
-                .into_iter()
-                .chain(vec![true; len_keep])
-                .collect::<Vec<_>>();
-
-            keep.append(&mut vec![false; frames.len() - start - len_keep]);
-            let mut iter_keep = keep.iter();
-
-            frames.retain(|_| *iter_keep.next().unwrap());
-
-            for (i, frame) in frames.iter().enumerate() {
-                info!("Logging frame {}", i);
-                frame
-                    .plot(
-                        stream,
-                        String::from("points/Original"),
-                        None,
-                        plotting_extras.0.clone(),
-                    )
-                    .unwrap();
-            }
-        }
-
-        let progbar = indicatif::ProgressBar::new(frames.len() as u64);
-        let denoised_frames: Vec<W> = frames
+        let progbar = indicatif::ProgressBar::new(elems.len() as u64);
+        let denoised_elements: Vec<W> = elems
             .into_par_iter()
             .progress_with(progbar)
             .map(|x| self.denoise(x))
             .collect::<Vec<_>>();
 
-        if let Some(stream) = record_stream.as_mut() {
-            for (i, frame) in denoised_frames.iter().enumerate() {
-                trace!("Logging frame {}", i);
-                frame
-                    .plot(
-                        stream,
-                        String::from("points/denoised"),
-                        None,
-                        plotting_extras.1.clone(),
-                    )
-                    .unwrap();
-            }
-        }
-
-        denoised_frames
+        denoised_elements
     }
 }
 
@@ -267,13 +356,16 @@ struct FrameDenoiser {
     ims_scaling: f32,
     max_mz_extension: f64,
     max_ims_extension: f32,
-    ims_converter: timsrust::Scan2ImConverter,
-    mz_converter: timsrust::Tof2MzConverter,
+    ims_converter: Scan2ImConverter,
+    mz_converter: Tof2MzConverter,
 }
 
 impl<'a> Denoiser<'a, Frame, DenseFrame, Converters, Option<usize>> for FrameDenoiser {
-    fn denoise(&self, frame: Frame) -> DenseFrame {
-        let denseframe = DenseFrame::new(&frame, &self.ims_converter, &self.mz_converter);
+    fn denoise(
+        &self,
+        frame: Frame,
+    ) -> DenseFrame {
+        let denseframe = DenseFrame::from_frame(&frame, &self.ims_converter, &self.mz_converter);
         _denoise_denseframe(
             denseframe,
             self.min_n,
@@ -293,30 +385,134 @@ struct DIAFrameDenoiser {
     max_mz_extension: f64,
     ims_scaling: f32,
     max_ims_extension: f32,
-    dia_frame_info: DIAFrameInfo,
-    ims_converter: timsrust::Scan2ImConverter,
-    mz_converter: timsrust::Tof2MzConverter,
+    ims_converter: Scan2ImConverter,
+    mz_converter: Tof2MzConverter,
 }
 
+// impl DIAFrameDenoiser {
+//     fn denoise_framewindow_slice(self, elems: Vec<FrameQuadWindow>) -> Vec<DenseFrameWindow> {}
+// }
+
 impl<'a> Denoiser<'a, Frame, Vec<DenseFrameWindow>, Converters, Option<usize>>
     for DIAFrameDenoiser
 {
-    fn denoise(&self, frame: Frame) -> Vec<DenseFrameWindow> {
-        _denoise_dia_frame(
-            frame,
-            self.min_n,
-            self.min_intensity,
-            &self.dia_frame_info,
-            &self.ims_converter,
-            &self.mz_converter,
-            self.mz_scaling,
-            self.max_mz_extension,
-            self.ims_scaling,
-            self.max_ims_extension,
-        )
+    fn denoise(
+        &self,
+        _frame: Frame,
+    ) -> Vec<DenseFrameWindow> {
+        panic!("This should not be called")
+        // _denoise_dia_frame(
+        //     frame,
+        //     self.min_n,
+        //     self.min_intensity,
+        //     &self.dia_frame_info,
+        //     &self.ims_converter,
+        //     &self.mz_converter,
+        //     self.mz_scaling,
+        //     self.max_mz_extension,
+        //     self.ims_scaling,
+        //     self.max_ims_extension,
+        // )
     }
-}
+    fn par_denoise_slice(
+        &self,
+        elems: Vec<Frame>,
+    ) -> Vec<Vec<DenseFrameWindow>>
+    where
+        Self: Sync,
+    {
+        info!("Denoising (centroiding) {} frames", elems.len());
+
+        let mut flat_windows: Vec<FrameSlice<'_>> = elems
+            .par_iter()
+            .flat_map(|x: &Frame| FrameSlice::from_frame(x))
+            .collect();
+
+        flat_windows.par_sort_unstable_by(|a, b| {
+            a.quadrupole_settings
+                .partial_cmp(&b.quadrupole_settings)
+                .unwrap()
+        });
+
+        let mut break_points = vec![0];
+        for i in 1..flat_windows.len() {
+            if flat_windows[i].quadrupole_settings != flat_windows[i - 1].quadrupole_settings {
+                break_points.push(i);
+            }
+        }
+
+        // If profiling and having the "IONMESH_PROFILE_NUM_WINDOWS" env variable set
+        // then only process the first N slices of windows.
+        // This is useful for profiling the code.
+        if let Ok(num_windows) = std::env::var("IONMESH_PROFILE_NUM_WINDOWS") {
+            let num_windows: usize = num_windows.parse().unwrap();
+            log::warn!("Profiling: Only processing {} windows", num_windows);
+            flat_windows.truncate(break_points[num_windows]);
+            break_points.truncate(num_windows);
+        }
 
+        // This warning reders to denoise_frame_slice_window.
+        // to have them be not hard-coded I need a way to convert
+        // m/z space ranges to tof indices ... which is not exposed
+        // by timsrust ...
+        let num_windows = break_points.len() - 1;
+        let mut out = Vec::with_capacity(num_windows);
+        let frame_window_slices: Vec<(usize, &[FrameSlice])> = (0..num_windows)
+            .map(|i| (i, &flat_windows[break_points[i]..break_points[i + 1]]))
+            .collect();
+        for (i, sv) in frame_window_slices.iter() {
+            info!("Denoising window {}/{}", i + 1, num_windows);
+            let start_tot_peaks = sv.iter().map(|x| x.num_ndpoints() as u64).sum::<u64>();
+            let progbar = indicatif::ProgressBar::new(sv.len() as u64);
+
+            let lambda_denoise = |x: &[ExpandedFrameSlice]| {
+                denoise_frame_slice_window(
+                    x,
+                    &self.ims_converter,
+                    &self.mz_converter,
+                    self.min_n,
+                    self.min_intensity,
+                    self.max_mz_extension,
+                    self.max_ims_extension,
+                )
+            };
+
+            let mut denoised_elements: Vec<DenseFrameWindow> = if cfg!(feature = "less_parallel") {
+                warn!("Running in less parallel mode");
+                sv.iter()
+                    .map(|x| ExpandedFrameSlice::from_frame_slice(x))
+                    .collect::<Vec<ExpandedFrameSlice>>()
+                    .windows(3)
+                    .map(lambda_denoise)
+                    .collect::<Vec<_>>()
+            } else {
+                sv.par_iter()
+                    .map(|x| ExpandedFrameSlice::from_frame_slice(x))
+                    .collect::<Vec<ExpandedFrameSlice>>()
+                    .par_windows(3)
+                    .progress_with(progbar)
+                    .map(lambda_denoise)
+                    .collect::<Vec<_>>()
+            };
+
+            debug!("Denoised {} frames", denoised_elements.len());
+            denoised_elements
+                .retain(|x| x.frame.raw_peaks.iter().map(|y| y.intensity).sum::<u32>() > 20);
+            debug!("Retained {} frames", denoised_elements.len());
+            let end_tot_peaks = denoised_elements
+                .iter()
+                .map(|x| x.frame.raw_peaks.len() as u64)
+                .sum::<u64>();
+            let ratio = end_tot_peaks as f64 / start_tot_peaks as f64;
+            debug!(
+                "Start peaks: {}, End peaks: {} -> ratio: {:.2}",
+                start_tot_peaks, end_tot_peaks, ratio
+            );
+            out.push(denoised_elements);
+        }
+        out
+    }
+}
 
 // RN this is dead but will be resurrected soon ...
 pub fn read_all_ms1_denoising(
@@ -327,22 +523,22 @@ pub fn read_all_ms1_denoising(
     max_mz_extension: f64,
     ims_scaling: f32,
     max_ims_extension: f32,
-    record_stream: &mut Option<rerun::RecordingStream>,
-) -> Vec<DenseFrame> {
-    let reader = timsrust::FileReader::new(path).unwrap();
+) -> Result<Vec<DenseFrame>, TimsRustError> {
+    let metadata_path = Path::new(&path.clone()).join("analysis.tdf");
+    let reader = timsrust::readers::FrameReader::new(path).unwrap();
+    let metadata = timsrust::readers::MetadataReader::new(metadata_path).unwrap();
 
     let mut timer = utils::ContextTimer::new("Reading all MS1 frames", true, utils::LogLevel::INFO);
 
-    let mut frames = reader.read_all_ms1_frames();
+    let frames: Result<Vec<Frame>, _> = reader.get_all_ms1().into_iter().collect();
     timer.stop(true);
 
-    let ims_converter = reader.get_scan_converter().unwrap();
-    let mz_converter = reader.get_tof_converter().unwrap();
+    let mut frames = frames?;
 
-    frames.retain(|frame| match frame.frame_type {
-        timsrust::FrameType::MS1 => true,
-        _ => false,
-    });
+    let ims_converter = metadata.im_converter;
+    let mz_converter = metadata.mz_converter;
+
+    frames.retain(|frame| matches!(frame.ms_level, MSLevel::MS1));
 
     // let min_intensity = 100u64;
     // let min_n: usize = 3;
@@ -357,33 +553,35 @@ pub fn read_all_ms1_denoising(
         mz_converter,
     };
 
-    let converters = (ims_converter, mz_converter);
     let mut timer =
         utils::ContextTimer::new("Denoising all MS1 frames", true, utils::LogLevel::INFO);
-    let out = ms1_denoiser.par_denoise_slice(frames, record_stream, (converters, None));
+    let out = ms1_denoiser.par_denoise_slice(frames);
     timer.stop(true);
-    out
+    Ok(out)
 }
 
 // This could probably be a macro ...
-// Maybe I should just pass the config ... instead of the elements
 pub fn read_all_dia_denoising(
     path: String,
     config: DenoiseConfig,
-    record_stream: &mut Option<rerun::RecordingStream>,
-) -> (Vec<DenseFrameWindow>, DIAFrameInfo) {
+) -> Result<(Vec<Vec<DenseFrameWindow>>, Vec<QuadrupoleSettings>), TimsRustError> {
     let mut timer = utils::ContextTimer::new("Reading all DIA frames", true, utils::LogLevel::INFO);
-    let reader = timsrust::FileReader::new(path.clone()).unwrap();
+    let metadata_path = Path::new(&path.clone()).join("analysis.tdf");
+    let reader = timsrust::readers::FrameReader::new(path)?;
+    let metadata = timsrust::readers::MetadataReader::new(metadata_path.clone())?;
+    let quad_settings = timsrust::readers::QuadrupoleSettingsReader::new(metadata_path)?;
 
-    let dia_info = tdf::read_dia_frame_info(path.clone()).unwrap();
-    let mut frames = reader.read_all_ms2_frames();
+    let frames: Result<Vec<Frame>, _> = reader.get_all_ms2().into_iter().collect();
 
-    let ims_converter = reader.get_scan_converter().unwrap();
-    let mz_converter = reader.get_tof_converter().unwrap();
+    let ims_converter = metadata.im_converter;
+    let mz_converter = metadata.mz_converter;
     timer.stop(true);
 
-    frames.retain(|frame| match frame.frame_type {
-        timsrust::FrameType::MS2(timsrust::AcquisitionType::DIAPASEF) => true,
+    let mut frames = frames?;
+
+    frames.retain(|frame| match (frame.ms_level, frame.acquisition_type) {
+        (MSLevel::MS2, AcquisitionType::DIAPASEF) => true,
+        (MSLevel::MS2, AcquisitionType::DiagonalDIAPASEF) => true,
         _ => false,
     });
 
@@ -394,17 +592,13 @@ pub fn read_all_dia_denoising(
         max_mz_extension: config.max_mz_expansion_ratio.into(),
         ims_scaling: config.ims_scaling,
         max_ims_extension: config.max_ims_expansion_ratio,
-        dia_frame_info: dia_info.clone(),
         ims_converter,
         mz_converter,
     };
-    let converters = (ims_converter, mz_converter);
-
     let mut timer =
         utils::ContextTimer::new("Denoising all MS2 frames", true, utils::LogLevel::INFO);
-    let split_frames = denoiser.par_denoise_slice(frames, record_stream, (converters, None));
-    let out: Vec<DenseFrameWindow> = split_frames.into_iter().flatten().collect();
+    let split_frames = denoiser.par_denoise_slice(frames);
     timer.stop(true);
 
-    (out, dia_info)
+    Ok((split_frames, quad_settings))
 }
diff --git a/src/aggregation/pseudospectra.rs b/src/aggregation/pseudospectra.rs
new file mode 100644
index 0000000..9be748d
--- /dev/null
+++ b/src/aggregation/pseudospectra.rs
@@ -0,0 +1,324 @@
+use std::error::Error;
+use std::io::Write;
+use std::path::Path;
+
+use log::info;
+use rayon::prelude::*;
+use serde::{
+    Deserialize,
+    Serialize,
+};
+
+use super::tracing::BaseTrace;
+use crate::aggregation::aggregators::ClusterAggregator;
+use crate::aggregation::dbscan::dbscan::{
+    dbscan_aggregate,
+    reassign_centroid,
+};
+use crate::aggregation::queriable_collections::queriable_traces::{
+    BaseTraceDistance,
+    TraceScalings,
+};
+use crate::aggregation::queriable_collections::QueriableTraces;
+use crate::space::space_generics::{
+    HasIntensity,
+    NDPoint,
+    NDPointConverter,
+};
+use crate::utils;
+use crate::utils::RollingSDCalculator;
+
+#[derive(Debug, Serialize, Deserialize, Clone, Copy)]
+pub struct PseudoscanGenerationConfig {
+    pub rt_scaling: f32,
+    pub quad_scaling: f32,
+    pub ims_scaling: f32,
+    pub max_rt_expansion_ratio: f32,
+    pub max_quad_expansion_ratio: f32,
+    pub max_ims_expansion_ratio: f32,
+    pub min_n: u8,
+    pub min_neighbor_intensity: u32,
+}
+
+impl Default for PseudoscanGenerationConfig {
+    fn default() -> Self {
+        PseudoscanGenerationConfig {
+            rt_scaling: 2.4,
+            quad_scaling: 5.,
+            ims_scaling: 0.015,
+            max_rt_expansion_ratio: 5.,
+            max_quad_expansion_ratio: 1.,
+            max_ims_expansion_ratio: 2.,
+            min_n: 6,
+            min_neighbor_intensity: 6000,
+        }
+    }
+}
+
+impl NDPointConverter<PseudoSpectrum, 2> for PseudoscanGenerationConfig {
+    fn convert(
+        &self,
+        elem: &PseudoSpectrum,
+    ) -> NDPoint<2> {
+        // let quad_mid = (elem.quad_low + elem.quad_high) / 2.;
+        NDPoint {
+            values: [elem.rt, elem.ims],
+        }
+    }
+}
+
+pub fn combine_pseudospectra(
+    traces: Vec<Vec<BaseTrace>>,
+    config: PseudoscanGenerationConfig,
+) -> Vec<PseudoSpectrum> {
+    traces
+        .into_iter()
+        .flat_map(|x| combine_single_pseudospectra_window(x, config))
+        .collect()
+}
+
+pub fn combine_single_pseudospectra_window(
+    traces: Vec<BaseTrace>,
+    config: PseudoscanGenerationConfig,
+) -> Vec<PseudoSpectrum> {
+    let mut timer =
+        utils::ContextTimer::new("Combining pseudospectra??", true, utils::LogLevel::INFO);
+
+    // let converter = BaseTraceConverter {
+    //     rt_scaling: config.rt_scaling.into(),
+    //     ims_scaling: config.ims_scaling.into(),
+    //     quad_scaling: config.quad_scaling.into(),
+    //     // rt_start_end_ratio: 2.,
+    //     // peak_width_prior: 0.75,
+    // };
+
+    const IOU_THRESH: f32 = 0.3;
+    const COSINE_THRESH: f32 = 0.8;
+    let extra_filter_fun = |x: &BaseTraceDistance| {
+        let close_in_quad = (x.quad_diff).abs() < 5.0;
+        let within_iou_tolerance = x.iou > IOU_THRESH;
+        let within_cosine_tolerance = x.cosine > COSINE_THRESH;
+
+        close_in_quad && within_iou_tolerance && within_cosine_tolerance
+    };
+
+    let max_extension_distances: [f32; 2] = [
+        config.max_rt_expansion_ratio * config.rt_scaling,
+        config.max_ims_expansion_ratio * config.ims_scaling,
+        // config.max_quad_expansion_ratio,
+    ];
+
+    let scalings = TraceScalings {
+        rt_scaling: config.rt_scaling.into(),
+        ims_scaling: config.ims_scaling.into(),
+        quad_scaling: config.quad_scaling.into(),
+    };
+
+    let qtt = QueriableTraces::new(traces, scalings);
+    let agg_timer = timer.start_sub_timer("aggregation");
+    let mut agg1 = dbscan_aggregate(
+        &qtt,
+        &qtt,
+        &qtt,
+        agg_timer,
+        config.min_n.into(),
+        config.min_neighbor_intensity.into(),
+        PseudoSpectrumAggregator::default,
+        Some(&extra_filter_fun),
+        utils::LogLevel::INFO,
+        false,
+        &max_extension_distances,
+        true,
+    );
+    agg1.retain(|x| x.peaks.len() > 3);
+
+    let reassign_max_distances = [config.rt_scaling, config.ims_scaling];
+
+    let ranking_lambda = |p: &PseudoSpectrum, a: &BaseTrace, b: &BaseTrace| {
+        let rt_diff = (p.rt - a.rt).abs() / config.rt_scaling;
+        let ims_diff = (p.ims - a.mobility).abs() / config.ims_scaling;
+        let quad_diff = (p.quad_low - a.quad_low).abs();
+        let rt_diff_b = (p.rt - b.rt).abs() / config.rt_scaling;
+        let ims_diff_b = (p.ims - b.mobility).abs() / config.ims_scaling;
+        let quad_diff_b = (p.quad_low - b.quad_low).abs();
+        let diff = rt_diff + ims_diff + quad_diff;
+        let diff_b = rt_diff_b + ims_diff_b + quad_diff_b;
+
+        diff.total_cmp(&diff_b)
+    };
+    let agg2 = reassign_centroid(
+        agg1,
+        &qtt,
+        config,
+        &qtt,
+        PseudoSpectrumAggregator::default,
+        utils::LogLevel::INFO,
+        &reassign_max_distances,
+        Some(300),
+        Some(&ranking_lambda),
+    );
+
+    info!("Combined pseudospectra: {}", agg2.len());
+    timer.stop(true);
+    agg2
+}
+
+pub fn write_pseudoscans_json(
+    pseudocscans: &[PseudoSpectrum],
+    out_path: impl AsRef<Path>,
+) -> Result<(), Box<dyn Error>> {
+    info!(
+        "Writting pseudoscans to json: {}",
+        out_path.as_ref().display()
+    );
+    let mut file = std::fs::File::create(out_path)?;
+    file.write_all("[".as_bytes())?;
+    let mut is_first = true;
+    for x in pseudocscans {
+        let json = serde_json::to_string(&x)?;
+        if is_first {
+            is_first = false;
+        } else {
+            file.write_all(",\n".as_bytes())?;
+        }
+        file.write_all(json.as_bytes())?;
+    }
+    file.write_all("]".as_bytes())?;
+
+    Ok(())
+}
+
+/// Peaks are mz-intensity pairs
+type Peak = (f64, u64);
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct PseudoSpectrum {
+    pub peaks: Vec<Peak>,
+    pub rt: f32,
+    pub rt_min: f32,
+    pub rt_max: f32,
+    pub rt_std: f32,
+    pub rt_skew: f32,
+    pub ims: f32,
+    pub ims_std: f32,
+    pub ims_skew: f32,
+    pub quad_low: f32,
+    pub quad_high: f32,
+}
+
+#[derive(Debug)]
+pub struct PseudoSpectrumAggregator {
+    peaks: Vec<Peak>,
+    intensity: u64,
+    rt: RollingSDCalculator<f64, u64>,
+    ims: RollingSDCalculator<f64, u64>,
+    quad_low: RollingSDCalculator<f32, u64>,
+    quad_high: RollingSDCalculator<f32, u64>,
+}
+
+impl Default for PseudoSpectrumAggregator {
+    fn default() -> Self {
+        let nv = Vec::new();
+        PseudoSpectrumAggregator {
+            peaks: nv,
+            intensity: 0,
+            rt: RollingSDCalculator::default(),
+            ims: RollingSDCalculator::default(),
+            // I am adding here because in the future I want to support
+            // the weird pasef modes.
+            quad_low: RollingSDCalculator::default(),
+            quad_high: RollingSDCalculator::default(),
+        }
+    }
+}
+
+impl<'a> ClusterAggregator<BaseTrace, PseudoSpectrum> for PseudoSpectrumAggregator {
+    fn add(
+        &mut self,
+        peak: &BaseTrace,
+    ) {
+        debug_assert!(peak.intensity < u64::MAX - self.intensity);
+
+        self.rt.add(peak.rt as f64, peak.intensity);
+        self.ims.add(peak.mobility as f64, peak.intensity);
+        self.quad_low.add(peak.quad_low, peak.intensity);
+        self.quad_high.add(peak.quad_high, peak.intensity);
+        self.peaks.push((peak.mz, peak.intensity));
+    }
+
+    fn aggregate(&self) -> PseudoSpectrum {
+        // TECHNICALLY this can error out if there are no elements...
+        let rt = self.rt.get_mean() as f32;
+        let ims = self.ims.get_mean() as f32;
+        let rt_skew = self.rt.get_skew() as f32;
+        let ims_skew = self.ims.get_skew() as f32;
+        let rt_std = self.rt.get_sd() as f32;
+        let ims_std = self.ims.get_sd() as f32;
+        let quad_low_high = (self.quad_low.get_mean(), self.quad_high.get_mean());
+
+        PseudoSpectrum {
+            peaks: self.peaks.clone(),
+            rt,
+            ims,
+            rt_min: self.rt.get_min().unwrap() as f32,
+            rt_max: self.rt.get_max().unwrap() as f32,
+            rt_std,
+            ims_std,
+            rt_skew,
+            ims_skew,
+            quad_low: quad_low_high.0,
+            quad_high: quad_low_high.1,
+        }
+    }
+
+    fn combine(
+        self,
+        other: Self,
+    ) -> Self {
+        let mut peaks = self.peaks.clone();
+        peaks.extend(other.peaks.clone());
+        let mut rt = self.rt;
+        let mut ims = self.ims;
+        let mut quad_low = self.quad_low;
+        let mut quad_high = self.quad_high;
+
+        rt.merge(&other.rt);
+        ims.merge(&other.ims);
+        quad_low.merge(&other.quad_low);
+        quad_high.merge(&other.quad_high);
+
+        PseudoSpectrumAggregator {
+            peaks,
+            intensity: self.intensity + other.intensity,
+            rt,
+            ims,
+            quad_low,
+            quad_high,
+        }
+    }
+}
+
+struct BaseTraceConverter {
+    rt_scaling: f64,
+    ims_scaling: f64,
+    quad_scaling: f64,
+}
+
+impl NDPointConverter<BaseTrace, 3> for BaseTraceConverter {
+    fn convert(
+        &self,
+        elem: &BaseTrace,
+    ) -> NDPoint<3> {
+        // let rt_start_use = (elem.rt - elem.rt_std).min(elem.rt - self.peak_width_prior as f32);
+        // let rt_end_use = (elem.rt + elem.rt_std).max(elem.rt + self.peak_width_prior as f32);
+        // let rt_start_end_scaling = self.rt_scaling * self.rt_start_end_ratio;
+        let quad_center = (elem.quad_low + elem.quad_high) / 2.;
+        NDPoint {
+            values: [
+                (elem.rt as f64 / self.rt_scaling) as f32,
+                (elem.mobility as f64 / self.ims_scaling) as f32,
+                (quad_center as f64 / self.quad_scaling) as f32,
+            ],
+        }
+    }
+}
diff --git a/src/aggregation/queriable_collections/mod.rs b/src/aggregation/queriable_collections/mod.rs
new file mode 100644
index 0000000..4f13017
--- /dev/null
+++ b/src/aggregation/queriable_collections/mod.rs
@@ -0,0 +1,3 @@
+pub mod queriable_indexed_points;
+pub mod queriable_traces;
+pub use queriable_traces::QueriableTraces;
diff --git a/src/aggregation/queriable_collections/queriable_indexed_points.rs b/src/aggregation/queriable_collections/queriable_indexed_points.rs
new file mode 100644
index 0000000..af4f984
--- /dev/null
+++ b/src/aggregation/queriable_collections/queriable_indexed_points.rs
@@ -0,0 +1,254 @@
+use rayon::prelude::*;
+
+pub use crate::aggregation::tracing::TimeTimsPeak;
+pub use crate::space::space_generics::{
+    AsAggregableAtIndex,
+    AsNDPointsAtIndex,
+    DistantAtIndex,
+    IntenseAtIndex,
+    NDBoundary,
+    NDPoint,
+    QueriableIndexedPoints,
+};
+pub use crate::utils::binary_search_slice;
+
+#[derive(Debug)]
+pub struct TimeTimsPeakScaling {
+    pub mz_scaling: f32,
+    pub rt_scaling: f32,
+    pub ims_scaling: f32,
+    pub quad_scaling: f32,
+}
+
+#[derive(Debug)]
+pub struct QueriableTimeTimsPeaks {
+    peaks: Vec<TimeTimsPeak>,
+    min_bucket_mz_vals: Vec<f32>,
+    bucket_size: usize,
+    scalings: TimeTimsPeakScaling,
+}
+
+impl QueriableTimeTimsPeaks {
+    pub fn new(
+        mut peaks: Vec<TimeTimsPeak>,
+        scalings: TimeTimsPeakScaling,
+    ) -> Self {
+        const BUCKET_SIZE: usize = 16384;
+        // // Sort all of our peaks by m/z, from low to high
+        peaks.par_sort_unstable_by(|a, b| a.mz.partial_cmp(&b.mz).unwrap());
+
+        let mut min_bucket_mz_vals = peaks
+            .par_chunks_mut(BUCKET_SIZE)
+            .map(|bucket| {
+                let min = bucket[0].mz;
+                bucket.par_sort_unstable_by(|a, b| a.rt.partial_cmp(&b.rt).unwrap());
+                min as f32
+            })
+            .collect::<Vec<_>>();
+
+        // Get the max value of the last bucket
+        let max_bucket_mz = peaks[peaks.len().saturating_sub(BUCKET_SIZE)..peaks.len()]
+            .iter()
+            .max_by(|a, b| a.mz.partial_cmp(&b.mz).unwrap())
+            .unwrap()
+            .mz as f32;
+        min_bucket_mz_vals.push(max_bucket_mz);
+
+        QueriableTimeTimsPeaks {
+            peaks,
+            min_bucket_mz_vals,
+            bucket_size: BUCKET_SIZE,
+            scalings,
+        }
+    }
+
+    fn get_bucket_at(
+        &self,
+        index: usize,
+    ) -> Result<&[TimeTimsPeak], ()> {
+        let page_start = index * self.bucket_size;
+        if page_start >= self.peaks.len() {
+            return Err(());
+        }
+        let page_end = (page_start + self.bucket_size).min(self.peaks.len());
+        let tmp = &self.peaks[page_start..page_end];
+
+        if cfg!(debug_assertions) {
+            // Check every 100 random queries ...
+            if rand::random::<usize>() % 100 == 0 {
+                let mut last_rt = 0.;
+                for item in tmp {
+                    if item.rt < last_rt {
+                        panic!("RTs are not sorted within the bucket");
+                    }
+                    last_rt = item.rt;
+                }
+            }
+        }
+        Ok(tmp)
+    }
+
+    pub fn get_intensity_sorted_indices(&self) -> Vec<(usize, u64)> {
+        let mut indices: Vec<(usize, u64)> = (0..self.peaks.len())
+            .map(|i| (i, self.peaks[i].intensity))
+            .collect();
+        indices.par_sort_unstable_by_key(|&x| x.1);
+
+        debug_assert!(indices.len() == self.peaks.len());
+        if cfg!(debug_assertions) && indices.len() > 1 {
+            for i in 1..indices.len() {
+                if indices[i - 1].1 > indices[i].1 {
+                    panic!("Indices are not sorted");
+                }
+            }
+        }
+        indices
+    }
+}
+
+impl AsNDPointsAtIndex<3> for QueriableTimeTimsPeaks {
+    fn get_ndpoint(
+        &self,
+        index: usize,
+    ) -> NDPoint<3> {
+        NDPoint {
+            values: [
+                self.peaks[index].mz as f32,
+                self.peaks[index].rt,
+                self.peaks[index].ims,
+            ],
+        }
+    }
+
+    fn num_ndpoints(&self) -> usize {
+        self.peaks.len()
+    }
+}
+
+impl IntenseAtIndex for QueriableTimeTimsPeaks {
+    fn intensity_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        self.peaks[index].intensity
+    }
+
+    fn intensity_index_length(&self) -> usize {
+        self.peaks.len()
+    }
+}
+
+impl AsAggregableAtIndex<TimeTimsPeak> for QueriableTimeTimsPeaks {
+    fn get_aggregable_at_index(
+        &self,
+        index: usize,
+    ) -> TimeTimsPeak {
+        self.peaks[index]
+    }
+
+    fn num_aggregable(&self) -> usize {
+        self.peaks.len()
+    }
+}
+
+impl DistantAtIndex<f32> for QueriableTimeTimsPeaks {
+    fn distance_at_indices(
+        &self,
+        index: usize,
+        other: usize,
+    ) -> f32 {
+        let a = self.peaks[index];
+        let b = self.peaks[other];
+        let mz = (a.mz - b.mz) as f32 / self.scalings.mz_scaling;
+        let rt = (a.rt - b.rt) / self.scalings.rt_scaling;
+        let ims = (a.ims - b.ims) / self.scalings.ims_scaling;
+        (mz * mz + rt * rt + ims * ims).sqrt()
+    }
+}
+
+impl QueriableIndexedPoints<3> for QueriableTimeTimsPeaks {
+    fn query_ndpoint(
+        &self,
+        point: &NDPoint<3>,
+    ) -> Vec<usize> {
+        let boundary = NDBoundary::new(
+            [
+                (point.values[0] - self.scalings.mz_scaling) - f32::EPSILON,
+                (point.values[1] - self.scalings.rt_scaling),
+                (point.values[2] - self.scalings.ims_scaling) - f32::EPSILON,
+            ],
+            [
+                (point.values[0] + self.scalings.mz_scaling) + f32::EPSILON,
+                (point.values[1] + self.scalings.rt_scaling),
+                (point.values[2] + self.scalings.ims_scaling) + f32::EPSILON,
+            ],
+        );
+
+        self.query_ndrange(&boundary, None)
+    }
+
+    fn query_ndrange(
+        &self,
+        boundary: &NDBoundary<3>,
+        _reference_point: Option<&NDPoint<3>>,
+    ) -> Vec<usize> {
+        let mut out = Vec::new();
+        let mz_range = (boundary.starts[0], boundary.ends[0]);
+        let _mz_range_f64 = (boundary.starts[0] as f64, boundary.ends[0] as f64);
+        let rt_range = (boundary.starts[1], boundary.ends[1]);
+        let ims_range = (boundary.starts[2], boundary.ends[2]);
+
+        let (bstart, bend) = binary_search_slice(
+            &self.min_bucket_mz_vals,
+            |a, b| a.total_cmp(b),
+            mz_range.0,
+            mz_range.1,
+        );
+
+        let bstart = bstart.saturating_sub(1);
+        let bend_new = bend.saturating_add(1).min(self.min_bucket_mz_vals.len());
+
+        for bnum in bstart..bend_new {
+            let c_bucket = self.get_bucket_at(bnum);
+            if c_bucket.is_err() {
+                continue;
+            }
+            let c_bucket = c_bucket.unwrap();
+            let page_start = bnum * self.bucket_size;
+
+            let (istart, iend) =
+                binary_search_slice(c_bucket, |a, b| a.rt.total_cmp(b), rt_range.0, rt_range.1);
+
+            for (j, peak) in self.peaks[(istart + page_start)..(iend + page_start)]
+                .iter()
+                .enumerate()
+            {
+                debug_assert!(
+                    peak.rt >= rt_range.0 && peak.rt <= rt_range.1,
+                    "RT out of range -> {} {} {}; istart {}, page_starrt {}, j {}; window rts: \
+                     {:?}",
+                    peak.rt,
+                    rt_range.0,
+                    rt_range.1,
+                    istart,
+                    page_start,
+                    j,
+                    &self.peaks[(j + istart + page_start).saturating_sub(5)
+                        ..(j + istart + page_start + 5).min(self.peaks.len())]
+                        .iter()
+                        .map(|x| x.rt)
+                        .collect::<Vec<f32>>()
+                );
+                if peak.ims >= ims_range.0
+                    && peak.ims <= ims_range.1
+                    && peak.mz as f32 >= mz_range.0
+                    && peak.mz as f32 <= mz_range.1
+                {
+                    out.push(j + istart + page_start);
+                }
+            }
+        }
+
+        out
+    }
+}
diff --git a/src/aggregation/queriable_collections/queriable_traces.rs b/src/aggregation/queriable_collections/queriable_traces.rs
new file mode 100644
index 0000000..3a90211
--- /dev/null
+++ b/src/aggregation/queriable_collections/queriable_traces.rs
@@ -0,0 +1,258 @@
+use log::info;
+use rayon::prelude::*;
+
+use crate::aggregation::tracing::BaseTrace;
+pub use crate::space::space_generics::{
+    AsAggregableAtIndex,
+    AsNDPointsAtIndex,
+    DistantAtIndex,
+    IntenseAtIndex,
+    NDBoundary,
+    NDPoint,
+    QueriableIndexedPoints,
+};
+pub use crate::utils::binary_search_slice;
+
+#[derive(Debug)]
+pub struct TraceScalings {
+    pub rt_scaling: f64,
+    pub ims_scaling: f64,
+    pub quad_scaling: f64,
+}
+
+#[derive(Debug)]
+pub struct QueriableTraces {
+    traces: Vec<BaseTrace>,
+    min_bucket_rt_vals: Vec<f32>,
+    bucket_size: usize,
+    scalings: TraceScalings,
+}
+
+impl QueriableTraces {
+    pub fn new(
+        mut traces: Vec<BaseTrace>,
+        scalings: TraceScalings,
+    ) -> Self {
+        const BUCKET_SIZE: usize = 16384 / 2;
+        // Sort all of our peaks by rt, from low to high
+        traces.par_sort_unstable_by(|a, b| a.rt.partial_cmp(&b.rt).unwrap());
+
+        let mut min_bucket_rt_vals = traces
+            .par_chunks_mut(BUCKET_SIZE)
+            .map(|bucket| {
+                let min = bucket[0].rt;
+                bucket.par_sort_unstable_by(|a, b| a.mobility.partial_cmp(&b.mobility).unwrap());
+                min
+            })
+            .collect::<Vec<_>>();
+
+        // Get the max value of the last bucket
+        let max_bucket_rt = traces[traces.len().saturating_sub(BUCKET_SIZE)..traces.len()]
+            .iter()
+            .max_by(|a, b| a.rt.partial_cmp(&b.rt).unwrap())
+            .unwrap()
+            .rt;
+        min_bucket_rt_vals.push(max_bucket_rt);
+
+        QueriableTraces {
+            traces,
+            min_bucket_rt_vals,
+            bucket_size: BUCKET_SIZE,
+            scalings,
+        }
+    }
+
+    fn get_bucket_at(
+        &self,
+        index: usize,
+    ) -> Result<&[BaseTrace], ()> {
+        let page_start = index * self.bucket_size;
+        if page_start >= self.traces.len() {
+            return Err(());
+        }
+        let page_end = (page_start + self.bucket_size).min(self.traces.len());
+        let tmp = &self.traces[page_start..page_end];
+
+        if cfg!(debug_assertions) && rand::random::<usize>() % 100 == 0 {
+            // Make sure all rts are sorted within the bucket
+            for i in 1..tmp.len() {
+                if tmp[i - 1].mobility > tmp[i].mobility {
+                    panic!("RTs are not sorted within the bucket");
+                }
+            }
+        }
+        Ok(tmp)
+    }
+
+    pub fn get_intensity_sorted_indices(&self) -> Vec<(usize, u64)> {
+        let mut indices: Vec<(usize, u64)> = (0..self.traces.len())
+            .map(|i| (i, self.traces[i].intensity))
+            .collect();
+
+        indices.par_sort_unstable_by_key(|&x| x.1);
+        indices
+    }
+}
+
+impl AsNDPointsAtIndex<2> for QueriableTraces {
+    fn get_ndpoint(
+        &self,
+        index: usize,
+    ) -> NDPoint<2> {
+        NDPoint {
+            values: [self.traces[index].rt, self.traces[index].mobility],
+        }
+    }
+    fn num_ndpoints(&self) -> usize {
+        self.traces.len()
+    }
+}
+
+impl IntenseAtIndex for QueriableTraces {
+    fn intensity_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        self.traces[index].intensity
+    }
+
+    fn intensity_index_length(&self) -> usize {
+        self.traces.len()
+    }
+}
+
+impl AsAggregableAtIndex<BaseTrace> for QueriableTraces {
+    fn get_aggregable_at_index(
+        &self,
+        index: usize,
+    ) -> BaseTrace {
+        self.traces[index]
+    }
+
+    fn num_aggregable(&self) -> usize {
+        self.traces.len()
+    }
+}
+
+pub struct BaseTraceDistance {
+    pub quad_diff: f32,
+    pub iou: f32,
+    pub cosine: f32,
+}
+
+impl DistantAtIndex<BaseTraceDistance> for QueriableTraces {
+    fn distance_at_indices(
+        &self,
+        index: usize,
+        other: usize,
+    ) -> BaseTraceDistance {
+        let quad_diff = (self.traces[index].quad_center - self.traces[other].quad_center).abs();
+        let iou = self.traces[index].rt_iou(&self.traces[other]);
+        // Q: What can cause an error here??
+        let cosine = self.traces[index]
+            .chromatogram
+            .cosine_similarity(&self.traces[other].chromatogram)
+            .unwrap();
+        BaseTraceDistance {
+            quad_diff,
+            iou,
+            cosine,
+        }
+    }
+}
+
+impl QueriableIndexedPoints<2> for QueriableTraces {
+    fn query_ndpoint(
+        &self,
+        point: &NDPoint<2>,
+    ) -> Vec<usize> {
+        let (bounds, point) = self.convert_to_bounds_query(point);
+        self.query_ndrange(&bounds, point)
+    }
+
+    fn convert_to_bounds_query<'a>(
+        &'a self,
+        point: &'a NDPoint<2>,
+    ) -> (NDBoundary<2>, Option<&NDPoint<2>>) {
+        let rt = point.values[0];
+        let mobility = point.values[1];
+        let bounds = NDBoundary::new(
+            [
+                rt - self.scalings.rt_scaling as f32,
+                mobility - self.scalings.ims_scaling as f32,
+            ],
+            [
+                rt + self.scalings.rt_scaling as f32,
+                mobility + self.scalings.ims_scaling as f32,
+            ],
+        );
+        (bounds, Some(point))
+    }
+
+    fn query_ndrange(
+        &self,
+        boundary: &NDBoundary<2>,
+        reference_point: Option<&NDPoint<2>>,
+    ) -> Vec<usize> {
+        let start_rt = boundary.starts[0];
+        let end_rt = boundary.ends[0];
+
+        let start_ims = boundary.starts[1];
+        let end_ims = boundary.ends[1];
+
+        let mut out = Vec::new();
+        let (start_bucket, end_bucket) = binary_search_slice(
+            &self.min_bucket_rt_vals,
+            |a, b| a.total_cmp(b),
+            start_rt,
+            end_rt,
+        );
+
+        let bstart = start_bucket.saturating_sub(1);
+        let bend_new = end_bucket
+            .saturating_add(1)
+            .min(self.min_bucket_rt_vals.len());
+
+        for bucket_index in bstart..bend_new {
+            let bucket = match self.get_bucket_at(bucket_index) {
+                Ok(x) => x,
+                Err(()) => continue,
+            };
+
+            let (ibstart, ibend) = binary_search_slice(
+                bucket,
+                |a, b| a.mobility.partial_cmp(b).unwrap(),
+                start_ims,
+                end_ims,
+            );
+
+            for (ti, trace) in bucket[ibstart..ibend].iter().enumerate() {
+                if trace.rt < start_rt || trace.rt > end_rt {
+                    continue;
+                }
+                if trace.mobility < start_ims || trace.mobility > end_ims {
+                    continue;
+                }
+                if let Some(reference_point) = reference_point {
+                    let dist = (reference_point.values[0] - trace.rt).abs()
+                        + (reference_point.values[1] - trace.mobility).abs();
+                    if dist > self.scalings.rt_scaling as f32 + self.scalings.ims_scaling as f32 {
+                        continue;
+                    }
+                }
+                let pi = ti + ibstart + bucket_index * self.bucket_size;
+                debug_assert!(pi < self.traces.len());
+                out.push(pi);
+            }
+        }
+
+        if out.is_empty() {
+            info!(
+                "No traces found for query: \n{:?} -> {:?}\n",
+                boundary, reference_point
+            );
+        }
+
+        out
+    }
+}
diff --git a/src/aggregation/trace_combination.rs b/src/aggregation/trace_combination.rs
deleted file mode 100644
index 98f652a..0000000
--- a/src/aggregation/trace_combination.rs
+++ /dev/null
@@ -1,20 +0,0 @@
-use crate::mod_types::Float;
-
-/// This is an attempt to use dbscan ... again to cluster the traces into  pseudo-spectra (or peptides)
-///
-/// The idea is to first calculate the distances using a sliding window of the traces.
-///     - The first distance will just be a generalized iou of the traces.
-/// Once calculated it will implement an indexed space interface (that allows query)
-///
-
-/// This is an index that represent a sparse matrix of similarities between traces.
-///
-/// The main idea is that for a number of points N, the `similarities` Vec has length N.
-/// Each element of `similarities` is a Vec of tuples of (index, similarity) where index
-/// is the index of the other trace and the similarity is the similarity between the two traces.
-///
-/// Therefore, the entry for similarities[i], where there is an entry (w, s) shold also have
-/// an entry in similarities[w] of (i, s)
-struct TraceSimilarityIndex {
-    similarities: Vec<Option<Vec<(usize, Float)>>>,
-}
diff --git a/src/aggregation/tracing.rs b/src/aggregation/tracing.rs
index 14ac700..5aa22d0 100644
--- a/src/aggregation/tracing.rs
+++ b/src/aggregation/tracing.rs
@@ -1,23 +1,45 @@
-use crate::aggregation::dbscan::{dbscan_generic, ClusterAggregator};
-use crate::mod_types::Float;
-use crate::ms::frames::{DenseFrame, DenseFrameWindow, TimsPeak};
-use crate::space::space_generics::{HasIntensity, NDPoint, NDPointConverter, TraceLike};
-use crate::utils;
-use crate::utils::RollingSDCalculator;
-use crate::visualization::RerunPlottable;
-use crate::space::space_generics::NDBoundary;
-use crate::aggregation::chromatograms::{BTreeChromatogram, ChromatogramArray, NUM_LOCAL_CHROMATOGRAM_BINS};
-
-use log::{debug, error, info, warn};
-use rayon::iter::IntoParallelIterator;
-use rayon::prelude::*;
-use serde::{Deserialize, Serialize};
-use serde::ser::{Serializer, SerializeStruct};
-use core::panic;
 use std::error::Error;
 use std::io::Write;
 use std::path::Path;
 
+use log::{
+    debug,
+    info,
+    warn,
+};
+use rayon::iter::IntoParallelIterator;
+use rayon::prelude::*;
+use serde::ser::{
+    SerializeStruct,
+    Serializer,
+};
+use serde::{
+    Deserialize,
+    Serialize,
+};
+
+use crate::aggregation::aggregators::{
+    aggregate_clusters,
+    ClusterAggregator,
+};
+use crate::aggregation::chromatograms::{
+    BTreeChromatogram,
+    ChromatogramArray,
+    NUM_LOCAL_CHROMATOGRAM_BINS,
+};
+use crate::aggregation::dbscan::runner::dbscan_label_clusters;
+use crate::aggregation::queriable_collections::queriable_indexed_points::{
+    QueriableTimeTimsPeaks,
+    TimeTimsPeakScaling,
+};
+use crate::ms::frames::DenseFrameWindow;
+use crate::space::space_generics::{
+    HasIntensity,
+    TraceLike,
+};
+use crate::utils;
+use crate::utils::RollingSDCalculator;
+
 type QuadLowHigh = (f64, f64);
 
 #[derive(Debug, Serialize, Deserialize, Clone, Copy)]
@@ -70,7 +92,10 @@ pub struct BaseTrace {
 }
 
 impl Serialize for BaseTrace {
-    fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
+    fn serialize<S>(
+        &self,
+        serializer: S,
+    ) -> Result<S::Ok, S::Error>
     where
         S: Serializer,
     {
@@ -94,10 +119,12 @@ impl Serialize for BaseTrace {
         state.serialize_field("chromatogram", &format!("{:?}", chromatogram))?;
         state.end()
     }
-
 }
 
-pub fn write_trace_csv(traces: &Vec<BaseTrace>, path: impl AsRef<Path>) -> Result<(), Box<dyn Error>> {
+pub fn write_trace_csv(
+    traces: &Vec<BaseTrace>,
+    path: impl AsRef<Path>,
+) -> Result<(), Box<dyn Error>> {
     let mut wtr = csv::Writer::from_path(path).unwrap();
     for trace in traces {
         wtr.serialize(trace)?;
@@ -116,20 +143,16 @@ pub struct TimeTimsPeak {
     pub n_peaks: u32,
 }
 
-impl HasIntensity<u32> for TimeTimsPeak {
-    fn intensity(&self) -> u32 {
-        let o = self.intensity.try_into();
-        match o {
-            Ok(x) => x,
-            Err(_) => {
-                error!("Intensity overflowed u32");
-                u32::MAX
-            }
-        }
+impl HasIntensity for TimeTimsPeak {
+    fn intensity(&self) -> u64 {
+        self.intensity
     }
 }
 
-pub fn iou(a: &(f32, f32), b: &(f32, f32)) -> f32 {
+pub fn iou(
+    a: &(f32, f32),
+    b: &(f32, f32),
+) -> f32 {
     let min_ends = a.1.min(b.1);
     let max_starts = a.0.max(b.0);
 
@@ -166,7 +189,10 @@ mod tests {
 }
 
 impl BaseTrace {
-    pub fn rt_iou(&self, other: &BaseTrace) -> f32 {
+    pub fn rt_iou(
+        &self,
+        other: &BaseTrace,
+    ) -> f32 {
         // TODO change this to be the measured peak width ...
         let width_a = self.rt_std.max(0.7);
         let width_b: f32 = other.rt_std.max(0.7);
@@ -176,7 +202,7 @@ impl BaseTrace {
     }
 }
 
-impl HasIntensity<u64> for BaseTrace {
+impl HasIntensity for BaseTrace {
     fn intensity(&self) -> u64 {
         self.intensity
     }
@@ -201,12 +227,20 @@ impl TraceLike<f32> for BaseTrace {
     }
 }
 
+pub fn calculate_cycle_time(frames: &[DenseFrameWindow]) -> f64 {
+    let rts = frames.iter().map(|x| x.frame.rt).collect::<Vec<f64>>();
+    let rt_diffs = rts.windows(2).map(|x| x[1] - x[0]).collect::<Vec<f64>>();
+    let cycle_time = rt_diffs.iter().sum::<f64>() / rt_diffs.len() as f64;
+
+    assert!(cycle_time > 0.);
+
+    cycle_time
+}
+
 pub fn combine_traces(
-    denseframe_windows: Vec<DenseFrameWindow>,
+    grouped_denseframe_windows: Vec<Vec<DenseFrameWindow>>,
     config: TracingConfig,
-    rt_binsize: f32,
-    record_stream: &mut Option<rerun::RecordingStream>,
-) -> Vec<BaseTrace> {
+) -> Vec<Vec<BaseTrace>> {
     // mz_scaling: f64,
     // rt_scaling: f64,
     // ims_scaling: f64,
@@ -216,137 +250,53 @@ pub fn combine_traces(
 
     let mut timer = utils::ContextTimer::new("Tracing peaks in time", true, utils::LogLevel::INFO);
 
-    let mut grouped_windows: Vec<Vec<Option<Vec<DenseFrameWindow>>>> = Vec::new();
-    for dfw in denseframe_windows {
-        let dia_group = dfw.group_id;
-        let quad_group = dfw.quad_group_id;
+    // rt_binsize: f32,
 
-        while grouped_windows.len() <= dia_group {
-            grouped_windows.push(Vec::new());
-        }
-
-        while grouped_windows[dia_group].len() <= quad_group {
-            grouped_windows[dia_group].push(None);
-        }
-
-        if grouped_windows[dia_group][quad_group].is_none() {
-            grouped_windows[dia_group][quad_group] = Some(Vec::new());
-        } else {
-            grouped_windows[dia_group][quad_group]
-                .as_mut()
-                .unwrap()
-                .push(dfw);
-        }
-    }
-
-    // Flatten one level
-    let grouped_windows: Vec<Vec<DenseFrameWindow>> =
-        grouped_windows.into_iter().flatten().flatten().collect();
-
-    let grouped_windows: Vec<Vec<TimeTimsPeak>> = grouped_windows
+    let grouped_windows: Vec<(f64, Vec<TimeTimsPeak>)> = grouped_denseframe_windows
         .into_iter()
-        .map(_flatten_denseframe_vec)
+        .map(|mut x| {
+            x.par_sort_unstable_by(|a, b| a.frame.rt.partial_cmp(&b.frame.rt).unwrap());
+            let cycle_time = calculate_cycle_time(&x);
+            let o = _flatten_denseframe_vec(x);
+            (cycle_time, o)
+        })
         .collect();
 
+    let combine_lambda = |cycle_time: f64, x: Vec<TimeTimsPeak>| {
+        combine_single_window_traces2(
+            x,
+            config.mz_scaling.into(),
+            config.max_mz_expansion_ratio,
+            config.rt_scaling.into(),
+            config.max_rt_expansion_ratio,
+            config.ims_scaling.into(),
+            config.max_ims_expansion_ratio,
+            config.min_n.into(),
+            config.min_neighbor_intensity,
+            cycle_time as f32,
+        )
+    };
+
     // Combine the traces
-    let out: Vec<BaseTrace> = grouped_windows
-        .into_par_iter()
-        .map(|x| {
-            _combine_single_window_traces(
-                x,
-                config.mz_scaling.into(),
-                config.max_mz_expansion_ratio,
-                config.rt_scaling.into(),
-                config.max_rt_expansion_ratio,
-                config.ims_scaling.into(),
-                config.max_ims_expansion_ratio,
-                config.min_n.into(),
-                config.min_neighbor_intensity,
-                rt_binsize,
-            )
-        })
-        .flatten()
-        .collect();
+    let out: Vec<Vec<BaseTrace>> = if cfg!(feature = "less_parallel") {
+        warn!("Running in single-threaded mode");
+        grouped_windows
+            .into_iter()
+            .map(|x| combine_lambda(x.0, x.1))
+            .collect()
+    } else {
+        grouped_windows
+            .into_par_iter()
+            .map(|x| combine_lambda(x.0, x.1))
+            .collect()
+    };
 
     info!("Total Combined traces: {}", out.len());
     timer.stop(true);
 
-    if let Some(stream) = record_stream.as_mut() {
-        let _ = out.plot(stream, String::from("points/combined"), None, None);
-    }
-
     out
 }
 
-impl RerunPlottable<Option<usize>> for Vec<BaseTrace> {
-    fn plot(
-        &self,
-        rec: &mut rerun::RecordingStream,
-        entry_path: String,
-        log_time_in_seconds: Option<f32>,
-        required_extras: Option<usize>,
-    ) -> Result<(), Box<dyn std::error::Error>> {
-        // Sort by retention time and make groups of 1s
-        let mut outs = Vec::new();
-        let mut sorted_traces = (*self).clone();
-        sorted_traces.sort_by(|a, b| a.rt.partial_cmp(&b.rt).unwrap());
-
-        let mut groups: Vec<Vec<BaseTrace>> = Vec::new();
-
-        let mut group: Vec<BaseTrace> = Vec::new();
-        let mut last_second = sorted_traces[0].rt as u32;
-        for trace in sorted_traces {
-            let curr_second = trace.rt as u32;
-            if curr_second != last_second {
-                groups.push(group.clone());
-                group = Vec::new();
-            }
-            last_second = curr_second;
-            group.push(trace);
-        }
-
-        // For each group
-        // Plot the group
-        for group in groups {
-            let mut peaks = Vec::new();
-            for trace in group {
-                peaks.push(TimsPeak {
-                    mz: trace.mz,
-                    intensity: trace.intensity.try_into().unwrap_or(u32::MAX),
-                    mobility: trace.mobility,
-                    npeaks: trace.num_agg.try_into().unwrap_or(u32::MAX),
-                })
-            }
-
-            // Pack them into a denseframe
-            let df = DenseFrame {
-                raw_peaks: peaks,
-                rt: last_second as f64,
-                index: 10 * last_second as usize, // I just need and index and back-calculating it is not worth my time.
-                frame_type: timsrust::FrameType::Unknown,
-                sorted: None,
-            };
-
-            // Plot the denseframe
-            let out = df.plot(
-                rec,
-                entry_path.clone(),
-                log_time_in_seconds,
-                required_extras,
-            );
-            if out.is_err() {
-                error!("Error plotting pseudo-denseframe: {:?}", out);
-            } else {
-                info!("Plotted pseudo-denseframe");
-            }
-            outs.push(out);
-        }
-
-        Ok(())
-    }
-}
-
-
 #[derive(Debug, Clone)]
 struct TraceAggregator {
     mz: RollingSDCalculator<f64, u64>,
@@ -360,7 +310,10 @@ struct TraceAggregator {
 }
 
 impl ClusterAggregator<TimeTimsPeak, BaseTrace> for TraceAggregator {
-    fn add(&mut self, peak: &TimeTimsPeak) {
+    fn add(
+        &mut self,
+        peak: &TimeTimsPeak,
+    ) {
         let _f64_intensity = peak.intensity as f64;
         self.mz.add(peak.mz, peak.intensity);
         debug_assert!(peak.intensity < u64::MAX - self.intensity);
@@ -387,7 +340,8 @@ impl ClusterAggregator<TimeTimsPeak, BaseTrace> for TraceAggregator {
 
         //  The chromatogram is an array centered on the retention time
         let num_rt_points = self.btree_chromatogram.btree.len();
-        let chromatogram: ChromatogramArray<f32, NUM_LOCAL_CHROMATOGRAM_BINS> = self.btree_chromatogram.as_chromatogram_array(Some(rt));
+        let chromatogram: ChromatogramArray<f32, NUM_LOCAL_CHROMATOGRAM_BINS> =
+            self.btree_chromatogram.as_chromatogram_array(Some(rt));
 
         // let apex = chromatogram.chromatogram.iter().enumerate().max_by_key(|x| (x.1 * 100.) as i32).unwrap().0;
         // let apex_offset = (apex as f32 - (NUM_LOCAL_CHROMATOGRAM_BINS as f32 / 2.)) * self.btree_chromatogram.rt_binsize;
@@ -413,7 +367,10 @@ impl ClusterAggregator<TimeTimsPeak, BaseTrace> for TraceAggregator {
         }
     }
 
-    fn combine(self, other: Self) -> Self {
+    fn combine(
+        self,
+        other: Self,
+    ) -> Self {
         let mut mz = self.mz;
         let mut rt = self.rt;
         let mut ims = self.ims;
@@ -437,47 +394,22 @@ impl ClusterAggregator<TimeTimsPeak, BaseTrace> for TraceAggregator {
     }
 }
 
-#[derive(Debug, Default)]
-struct TimeTimsPeakConverter {
-    // Takes  DenseFrameWindow
-    mz_scaling: f64,
-    rt_scaling: f64,
-    ims_scaling: f64,
-}
-
-impl NDPointConverter<TimeTimsPeak, 3> for TimeTimsPeakConverter {
-    fn convert(&self, elem: &TimeTimsPeak) -> NDPoint<3> {
-        NDPoint {
-            values: [
-                (elem.mz / self.mz_scaling) as Float,
-                (elem.rt as f64 / self.rt_scaling) as Float,
-                (elem.ims as f64 / self.ims_scaling) as Float,
-            ],
-        }
-    }
-}
-
-struct BypassBaseTraceBackConverter {}
-
-impl NDPointConverter<BaseTrace, 3> for BypassBaseTraceBackConverter {
-    fn convert(&self, _elem: &BaseTrace) -> NDPoint<3> {
-        panic!("This should never be called");
-    }
-}
-
-
 fn _flatten_denseframe_vec(denseframe_windows: Vec<DenseFrameWindow>) -> Vec<TimeTimsPeak> {
     denseframe_windows
         .into_iter()
         .flat_map(|dfw| {
             let mut out = Vec::new();
             for peak in dfw.frame.raw_peaks {
+                let mz_start = dfw.quadrupole_setting.isolation_mz
+                    - (dfw.quadrupole_setting.isolation_width / 2.);
+                let mz_end = dfw.quadrupole_setting.isolation_mz
+                    + (dfw.quadrupole_setting.isolation_width / 2.);
                 out.push(TimeTimsPeak {
                     mz: peak.mz,
                     intensity: peak.intensity as u64,
                     rt: dfw.frame.rt as f32,
                     ims: peak.mobility,
-                    quad_low_high: (dfw.mz_start, dfw.mz_end),
+                    quad_low_high: (mz_start, mz_end),
                     n_peaks: 1,
                 });
             }
@@ -486,12 +418,7 @@ fn _flatten_denseframe_vec(denseframe_windows: Vec<DenseFrameWindow>) -> Vec<Tim
         .collect::<Vec<_>>()
 }
 
-// Needed to specify the generic in dbscan_generic
-type FFTimeTimsPeak = fn(&TimeTimsPeak, &TimeTimsPeak) -> bool;
-
-
-// TODO maybe this can be a builder-> executor pattern
-fn _combine_single_window_traces(
+fn combine_single_window_traces2(
     prefiltered_peaks: Vec<TimeTimsPeak>,
     mz_scaling: f64,
     max_mz_expansion_ratio: f32,
@@ -503,354 +430,61 @@ fn _combine_single_window_traces(
     min_intensity: u32,
     rt_binsize: f32,
 ) -> Vec<BaseTrace> {
-    debug!("Prefiltered peaks: {}", prefiltered_peaks.len());
-    let converter: TimeTimsPeakConverter = TimeTimsPeakConverter {
-        mz_scaling,
-        rt_scaling,
-        ims_scaling,
+    let timer = utils::ContextTimer::new("dbscan_wt2", true, utils::LogLevel::DEBUG);
+    info!("Peaks in window: {}", prefiltered_peaks.len());
+    let scalings = TimeTimsPeakScaling {
+        mz_scaling: mz_scaling as f32,
+        rt_scaling: rt_scaling as f32,
+        ims_scaling: ims_scaling as f32,
+        quad_scaling: 1.,
     };
     let window_quad_low_high = (
         prefiltered_peaks[0].quad_low_high.0,
         prefiltered_peaks[0].quad_low_high.1,
     );
+    let index = QueriableTimeTimsPeaks::new(prefiltered_peaks, scalings);
+    let intensity_sorted_indices = index.get_intensity_sorted_indices();
     let max_extension_distances: [f32; 3] = [
-        max_mz_expansion_ratio,
-        max_rt_expansion_ratio,
-        max_ims_expansion_ratio,
+        max_mz_expansion_ratio * mz_scaling as f32,
+        max_rt_expansion_ratio * rt_scaling as f32,
+        max_ims_expansion_ratio * ims_scaling as f32,
     ];
-    warn!("Assuming all quad windows are the same!!! (fine for diaPASEF)");
 
-    // TODO make dbscan_generic a runner-class
-    let out_traces: Vec<BaseTrace> = dbscan_generic(
-        converter,
-        prefiltered_peaks,
+    let mut i_timer = timer.start_sub_timer("dbscan");
+    let cluster_labels = dbscan_label_clusters(
+        &index,
+        &index,
+        &index,
         min_n,
         min_intensity.into(),
-        || TraceAggregator {
-            mz: RollingSDCalculator::default(),
-            intensity: 0,
-            rt: RollingSDCalculator::default(),
-            ims: RollingSDCalculator::default(),
-            num_peaks: 0,
-            num_rt_peaks: 0,
-            quad_low_high: window_quad_low_high,
-            btree_chromatogram: BTreeChromatogram::new_lazy(rt_binsize),
-        },
-        None::<&FFTimeTimsPeak>,
-        None,
-        false,
+        intensity_sorted_indices,
+        None::<&(dyn Fn(&f32) -> bool + Send + Sync)>,
+        true,
         &max_extension_distances,
-        None::<BypassBaseTraceBackConverter>,
     );
 
-    debug!("Combined traces: {}", out_traces.len());
-    out_traces
-}
-
-// NOW ... combine traces into pseudospectra
-
-/// Peaks are mz-intensity pairs
-type Peak = (f64, u64);
-
-#[derive(Debug, Clone, Serialize, Deserialize)]
-pub struct PseudoSpectrum {
-    pub peaks: Vec<Peak>,
-    pub rt: f32,
-    pub rt_min: f32,
-    pub rt_max: f32,
-    pub rt_std: f32,
-    pub rt_skew: f32,
-    pub ims: f32,
-    pub ims_std: f32,
-    pub ims_skew: f32,
-    pub quad_low: f32,
-    pub quad_high: f32,
-}
-
-#[derive(Debug)]
-pub struct PseudoSpectrumAggregator {
-    peaks: Vec<Peak>,
-    intensity: u64,
-    rt: RollingSDCalculator<f64, u64>,
-    ims: RollingSDCalculator<f64, u64>,
-    quad_low: RollingSDCalculator<f32, u64>,
-    quad_high: RollingSDCalculator<f32, u64>,
-}
-
-impl Default for PseudoSpectrumAggregator {
-    fn default() -> Self {
-        let nv = Vec::new();
-        PseudoSpectrumAggregator {
-            peaks: nv,
-            intensity: 0,
-            rt: RollingSDCalculator::default(),
-            ims: RollingSDCalculator::default(),
-            // I am adding here because in the future I want to support
-            // the weird pasef modes.
-            quad_low: RollingSDCalculator::default(),
-            quad_high: RollingSDCalculator::default(),
-        }
-    }
-}
-
-impl<'a> ClusterAggregator<BaseTrace, PseudoSpectrum> for PseudoSpectrumAggregator {
-    fn add(&mut self, peak: &BaseTrace) {
-        debug_assert!(peak.intensity < u64::MAX - self.intensity);
-
-        self.rt.add(peak.rt as f64, peak.intensity);
-        self.ims.add(peak.mobility as f64, peak.intensity);
-        self.quad_low.add(peak.quad_low, peak.intensity);
-        self.quad_high.add(peak.quad_high, peak.intensity);
-        self.peaks.push((peak.mz, peak.intensity));
-    }
-
-    fn aggregate(&self) -> PseudoSpectrum {
-        // TECHNICALLY this can error out if there are no elements...
-        let rt = self.rt.get_mean() as f32;
-        let ims = self.ims.get_mean() as f32;
-        let rt_skew = self.rt.get_skew() as f32;
-        let ims_skew = self.ims.get_skew() as f32;
-        let rt_std = self.rt.get_sd() as f32;
-        let ims_std = self.ims.get_sd() as f32;
-        let quad_low_high = (self.quad_low.get_mean(), self.quad_high.get_mean());
-
-        PseudoSpectrum {
-            peaks: self.peaks.clone(),
-            rt,
-            ims,
-            rt_min: self.rt.get_min().unwrap() as f32,
-            rt_max: self.rt.get_max().unwrap() as f32,
-            rt_std,
-            ims_std,
-            rt_skew,
-            ims_skew,
-            quad_low: quad_low_high.0,
-            quad_high: quad_low_high.1,
-        }
-    }
-
-    fn combine(self, other: Self) -> Self {
-        let mut peaks = self.peaks.clone();
-        peaks.extend(other.peaks.clone());
-        let mut rt = self.rt;
-        let mut ims = self.ims;
-        let mut quad_low = self.quad_low;
-        let mut quad_high = self.quad_high;
-
-        rt.merge(&other.rt);
-        ims.merge(&other.ims);
-        quad_low.merge(&other.quad_low);
-        quad_high.merge(&other.quad_high);
-
-        PseudoSpectrumAggregator {
-            peaks,
-            intensity: self.intensity + other.intensity,
-            rt,
-            ims,
-            quad_low,
-            quad_high,
-        }
-    }
-}
-
-struct BaseTraceConverter {
-    rt_scaling: f64,
-    ims_scaling: f64,
-    quad_scaling: f64,
-}
-
-impl NDPointConverter<BaseTrace, 3> for BaseTraceConverter {
-    fn convert(&self, elem: &BaseTrace) -> NDPoint<3> {
-        // let rt_start_use = (elem.rt - elem.rt_std).min(elem.rt - self.peak_width_prior as f32);
-        // let rt_end_use = (elem.rt + elem.rt_std).max(elem.rt + self.peak_width_prior as f32);
-        // let rt_start_end_scaling = self.rt_scaling * self.rt_start_end_ratio;
-        let quad_center = (elem.quad_low + elem.quad_high) / 2.;
-        NDPoint {
-            values: [
-                (elem.rt as f64 / self.rt_scaling) as Float,
-                (elem.mobility as f64 / self.ims_scaling) as Float,
-                (quad_center as f64 / self.quad_scaling) as Float,
-            ],
-        }
-    }
-
-    fn convert_to_bounds_query<'a>(
-        &self,
-        point: &'a NDPoint<3>,
-    ) -> (
-        NDBoundary<3>,
-        Option<&'a NDPoint<3>>,
-    ) {
-        const NUM_DIMENTIONS: usize = 3;
-        // let range_center = (point.values[1] + point.values[2]) / 2.;
-        let mut starts = point.values;
-        let mut ends = point.values;
-        for i in 0..NUM_DIMENTIONS {
-            starts[i] -= 1.;
-            ends[i] += 1.;
-        }
-
-        // // KEY =                 [-------]
-        // // Allowed ends =            [------]
-        // // Allowed starts =  [------]
-
-        // ends[1] = range_center;
-        // starts[2] = range_center;
-
-        let bounds = NDBoundary::new(starts, ends);
-        (bounds, Some(point))
-    }
-}
-
-struct PseudoScanBackConverter {
-    rt_scaling: f64,
-    ims_scaling: f64,
-    quad_scaling: f64,
-}
-
-impl NDPointConverter<PseudoSpectrum, 3> for PseudoScanBackConverter {
-    fn convert(&self, elem: &PseudoSpectrum) -> NDPoint<3> {
-        let quad_mid = (elem.quad_low + elem.quad_high) / 2.;
-        NDPoint {
-            values: [
-                (elem.rt as f64 / self.rt_scaling) as Float,
-                (elem.ims as f64 / self.ims_scaling) as Float,
-                (quad_mid as f64 / self.quad_scaling) as Float,
-            ],
-        }
-    }
-}
-
-
-
-
-#[derive(Debug, Serialize, Deserialize, Clone, Copy)]
-pub struct PseudoscanGenerationConfig {
-    pub rt_scaling: f32,
-    pub quad_scaling: f32,
-    pub ims_scaling: f32,
-    pub max_rt_expansion_ratio: f32,
-    pub max_quad_expansion_ratio: f32,
-    pub max_ims_expansion_ratio: f32,
-    pub min_n: u8,
-    pub min_neighbor_intensity: u32,
-}
-
-impl Default for PseudoscanGenerationConfig {
-    fn default() -> Self {
-        PseudoscanGenerationConfig {
-            rt_scaling: 2.4,
-            quad_scaling: 5.,
-            ims_scaling: 0.015,
-            max_rt_expansion_ratio: 5.,
-            max_quad_expansion_ratio: 1.,
-            max_ims_expansion_ratio: 2.,
-            min_n: 6,
-            min_neighbor_intensity: 6000,
-        }
-    }
-}
-
-
-pub fn combine_pseudospectra(
-    traces: Vec<BaseTrace>,
-    config: PseudoscanGenerationConfig,
-    record_stream: &mut Option<rerun::RecordingStream>,
-) -> Vec<PseudoSpectrum> {
-    let mut timer =
-        utils::ContextTimer::new("Combining pseudospectra", true, utils::LogLevel::INFO);
-
-    let converter = BaseTraceConverter {
-        rt_scaling: config.rt_scaling.into(),
-        ims_scaling: config.ims_scaling.into(),
-        quad_scaling: config.quad_scaling.into(),
-
-        // rt_start_end_ratio: 2.,
-        // peak_width_prior: 0.75,
-    };
-
-    const IOU_THRESH: f32 = 0.1;
-    const COSINE_THRESH: f32 = 0.8;
-    let extra_filter_fun = |x: &BaseTrace, y: &BaseTrace| {
-        let close_in_quad = (x.quad_center - y.quad_center).abs() < 5.0;
-        if !close_in_quad {
-            return false;
-        }
-
-        let iou = x.rt_iou(y);
-        let within_iou_tolerance = iou > IOU_THRESH;
-
-        let cosine = x.chromatogram.cosine_similarity(&y.chromatogram).unwrap();
-        let within_cosine_tolerance = cosine > COSINE_THRESH;
-
-        within_iou_tolerance && within_cosine_tolerance
-    };
-
-    let back_converter = PseudoScanBackConverter {
-        rt_scaling: config.rt_scaling.into(),
-        ims_scaling: config.ims_scaling.into(),
-        quad_scaling: config.quad_scaling.into(),
+    i_timer.stop(true);
+
+    let def_aggregator = || TraceAggregator {
+        mz: RollingSDCalculator::default(),
+        intensity: 0,
+        rt: RollingSDCalculator::default(),
+        ims: RollingSDCalculator::default(),
+        num_peaks: 0,
+        num_rt_peaks: 0,
+        quad_low_high: window_quad_low_high,
+        btree_chromatogram: BTreeChromatogram::new_lazy(rt_binsize),
     };
-    let max_extension_distances: [Float; 3] = [
-        config.max_rt_expansion_ratio as Float,
-        config.max_ims_expansion_ratio as Float,
-        config.max_quad_expansion_ratio as Float,
-    ];
 
-    let foo: Vec<PseudoSpectrum> = dbscan_generic(
-        converter,
-        traces,
-        config.min_n.into(),
-        config.min_neighbor_intensity.into(),
-        PseudoSpectrumAggregator::default,
-        Some(&extra_filter_fun),
-        Some(utils::LogLevel::INFO),
+    let centroids = aggregate_clusters(
+        cluster_labels.num_clusters,
+        cluster_labels.cluster_labels,
+        &index,
+        &def_aggregator,
+        utils::LogLevel::TRACE,
         false,
-        &max_extension_distances,
-        Some(back_converter),
     );
 
-    info!("Combined pseudospectra: {}", foo.len());
-    timer.stop(true);
-
-    if let Some(_stream) = record_stream.as_mut() {
-        warn!("Plotting pseudospectra is not implemented yet");
-    }
-
-    foo
-}
-
-pub fn write_pseudoscans_json(
-    pseudocscans: &[PseudoSpectrum],
-    out_path: impl AsRef<Path>,
-) -> Result<(), Box<dyn Error>> {
-    info!(
-        "Writting pseudoscans to json: {}",
-        out_path.as_ref().display()
-    );
-    let mut file = std::fs::File::create(out_path)?;
-    file.write("[".as_bytes())?;
-    let mut is_first = true;
-    for x in pseudocscans {
-        let json = serde_json::to_string(&x)?;
-        if is_first {
-            is_first = false;
-        } else {
-            file.write(",\n".as_bytes())?;
-        }
-        file.write(json.as_bytes())?;
-    }
-    file.write("]".as_bytes())?;
-
-    Ok(())
-}
-
-pub fn read_pseudoscans_json(
-    in_path: impl AsRef<Path>,
-) -> Result<Vec<PseudoSpectrum>, Box<dyn Error>> {
-    info!("Reading pseudoscans from json {}", in_path.as_ref().display());
-    let file = std::fs::File::open(in_path)?;
-    let reader = std::io::BufReader::new(file);
-    let out: Vec<PseudoSpectrum> = serde_json::from_reader(reader)?;
-    Ok(out)
+    debug!("Combined traces: {}", centroids.len());
+    centroids
 }
diff --git a/src/extraction.rs b/src/extraction.rs
deleted file mode 100644
index 9474d3e..0000000
--- a/src/extraction.rs
+++ /dev/null
@@ -1,13 +0,0 @@
-// This whole module is greatly inspired by how sage does quant.
-
-// Percent of the retention time window to use for extraction.
-// 1.0 is 100% just to be clear.
-// This defines the whole width, chich means that half will be
-// used before and half after the expected apex.
-const EXTRACTION_WINDOW_PCT: f64 = 0.02;
-
-// Number of bins in which the grid will be divided.
-const NUM_BINS: usize = 20;
-
-const MS1_ISOTOPES: usize = 3;
-const MS2_ISOTOPES: usize = 2;
diff --git a/src/lib.rs b/src/lib.rs
index d99977e..3ed1c6c 100644
--- a/src/lib.rs
+++ b/src/lib.rs
@@ -1,7 +1,5 @@
 pub mod aggregation;
-mod mod_types;
 pub mod ms;
 pub mod scoring;
 pub mod space;
 pub mod utils;
-pub mod visualization;
diff --git a/src/main.rs b/src/main.rs
index 074e09a..b0a12e4 100644
--- a/src/main.rs
+++ b/src/main.rs
@@ -8,25 +8,26 @@
 //
 
 mod aggregation;
-mod extraction;
-mod mod_types;
 mod ms;
 mod scoring;
 mod space;
 
 mod utils;
-mod visualization;
 
 extern crate log;
 extern crate pretty_env_logger;
 
+use std::fs;
+use std::path::Path;
+
 use clap::Parser;
+use log::debug;
+use serde::{
+    Deserialize,
+    Serialize,
+};
 
 use crate::scoring::SageSearchConfig;
-use serde::{Deserialize, Serialize};
-use std::env;
-use std::fs;
-use std::path::Path;
 
 #[derive(Parser, Debug)]
 #[command(author, version, about, long_about = None)]
@@ -63,7 +64,7 @@ impl Default for OutputConfig {
 struct Config {
     denoise_config: aggregation::ms_denoise::DenoiseConfig,
     tracing_config: aggregation::tracing::TracingConfig,
-    pseudoscan_generation_config: aggregation::tracing::PseudoscanGenerationConfig,
+    pseudoscan_generation_config: aggregation::pseudospectra::PseudoscanGenerationConfig,
     sage_search_config: SageSearchConfig,
     output_config: OutputConfig,
 }
@@ -76,7 +77,7 @@ impl Config {
     }
 }
 
-fn main() {
+fn main() -> Result<(), std::io::Error> {
     let args = Args::parse();
 
     if args.write_template {
@@ -89,7 +90,7 @@ fn main() {
         } else {
             std::fs::write(out_path.clone(), config_str).unwrap();
             println!("Wrote default config to {}", out_path);
-            return;
+            return Ok(());
         }
     }
 
@@ -98,17 +99,12 @@ fn main() {
 
     pretty_env_logger::init();
 
-    let mut rec: Option<rerun::RecordingStream> = None;
-    if cfg!(feature = "viz") {
-        rec = Some(visualization::setup_recorder());
-    }
-
     let path_use = args.files;
     if path_use.len() != 1 {
         panic!("I have only implemented one path!!!");
     }
     let path_use = path_use[0].clone();
-    // ms_denoise::read_all_ms1_denoising(path_use.clone(), &mut rec);
+    // ms_denoise::read_all_ms1_denoising(path_use.clone());
 
     let out_path_dir = Path::new(&args.output_dir);
     // Create dir if not exists ...
@@ -117,110 +113,118 @@ fn main() {
     }
 
     // TODO: consier moving this to the config struct as an implementation.
-    let out_path_scans = config.output_config.debug_scans_json.as_ref().map(|path| out_path_dir.join(path).to_path_buf());
-    let out_traces_path = config.output_config.debug_traces_csv.as_ref().map(|path| out_path_dir.join(path).to_path_buf());
-    let out_path_features = config.output_config.out_features_csv.as_ref().map(|path| out_path_dir.join(path).to_path_buf());
-
-    let mut traces_from_cache = env::var("DEBUG_TRACES_FROM_CACHE").is_ok();
-    if traces_from_cache && out_path_scans.is_none() {
-        log::warn!("DEBUG_TRACES_FROM_CACHE is set but no output path is set, will fall back to generating traces.");
-        traces_from_cache = false;
-    }
-
-    let mut pseudoscans = if traces_from_cache {
-        let pseudoscans_read = aggregation::tracing::read_pseudoscans_json(out_path_scans.unwrap());
-        pseudoscans_read.unwrap()
-    } else {
-        log::info!("Reading DIA data from: {}", path_use);
-        let (dia_frames, dia_info) = aggregation::ms_denoise::read_all_dia_denoising(
-            path_use.clone(),
-            config.denoise_config,
-            &mut rec,
-        );
-
-        let cycle_time = dia_info.calculate_cycle_time();
+    let out_path_scans = config
+        .output_config
+        .debug_scans_json
+        .as_ref()
+        .map(|path| out_path_dir.join(path).to_path_buf());
+    let _out_traces_path = config
+        .output_config
+        .debug_traces_csv
+        .as_ref()
+        .map(|path| out_path_dir.join(path).to_path_buf());
+    let out_path_features = config
+        .output_config
+        .out_features_csv
+        .as_ref()
+        .map(|path| out_path_dir.join(path).to_path_buf());
+
+    log::info!("Reading DIA data from: {}", path_use);
+    let tmp =
+        aggregation::ms_denoise::read_all_dia_denoising(path_use.clone(), config.denoise_config);
+
+    let (dia_frames, dia_info) = match tmp {
+        Ok(x) => x,
+        Err(e) => {
+            log::error!("Error reading DIA data: {:?}", e);
+            return Err(std::io::Error::new(
+                std::io::ErrorKind::Other,
+                e.to_string(),
+            ));
+        },
+    };
 
-        // TODO add here expansion limits
-        let mut traces = aggregation::tracing::combine_traces(
-            dia_frames,
-            config.tracing_config,
-            cycle_time,
-            &mut rec,
+    // TODO add here expansion limits
+    let mut traces = aggregation::tracing::combine_traces(dia_frames, config.tracing_config);
+
+    // let out = match out_traces_path {
+    //     Some(out_path) => aggregation::tracing::write_trace_csv(&traces, out_path),
+    //     None => Ok(()),
+    // };
+    // match out {
+    //     Ok(_) => {},
+    //     Err(e) => {
+    //         log::warn!("Error writing traces: {:?}", e);
+    //     },
+    // }
+
+    let num_traces = traces.len();
+    for (i, trace) in traces.iter_mut().enumerate() {
+        debug!("trace {}/{}: {}", i, num_traces, trace.len());
+        trace.retain(|x| x.num_agg > 3);
+        debug!(
+            "trace {}/{}: {} (after dopping too short)",
+            i,
+            num_traces,
+            trace.len()
         );
-
-        let out = match out_traces_path {
-            Some(out_path) => aggregation::tracing::write_trace_csv(&traces, out_path),
-            None => Ok(()),
-        };
-        match out {
-            Ok(_) => {}
-            Err(e) => {
-                log::warn!("Error writing traces: {:?}", e);
-            }
+        if trace.len() > 5 {
+            debug!("sample_trace: {:?}", trace[trace.len() - 4])
         }
+    }
 
-        println!("traces: {:?}", traces.len());
-        traces.retain(|x| x.num_agg > 5);
-        println!("traces: {:?}", traces.len());
-        if traces.len() > 5 {
-            println!("sample_trace: {:?}", traces[traces.len() - 4])
-        }
-
-        // Maybe reparametrize as 1.1 cycle time
-        // TODO add here expansion limits
-        let pseudoscans = aggregation::tracing::combine_pseudospectra(
-            traces,
-            config.pseudoscan_generation_config,
-            &mut rec,
-        );
-
-        // Report min/max/average/std and skew for ims and rt
-        // This can probably be a macro ...
-        let ims_stats =
-            utils::get_stats(&pseudoscans.iter().map(|x| x.ims as f64).collect::<Vec<_>>());
-        let ims_sd_stats = utils::get_stats(
-            &pseudoscans
-                .iter()
-                .map(|x| x.ims_std as f64)
-                .collect::<Vec<_>>(),
-        );
-        let rt_stats =
-            utils::get_stats(&pseudoscans.iter().map(|x| x.rt as f64).collect::<Vec<_>>());
-        let rt_sd_stats = utils::get_stats(
-            &pseudoscans
-                .iter()
-                .map(|x| x.rt_std as f64)
-                .collect::<Vec<_>>(),
-        );
-        let npeaks = utils::get_stats(
-            &pseudoscans
-                .iter()
-                .map(|x| x.peaks.len() as f64)
-                .collect::<Vec<_>>(),
-        );
+    // Maybe reparametrize as 1.1 cycle time
+    // TODO add here expansion limits
+    let mut pseudoscans = aggregation::pseudospectra::combine_pseudospectra(
+        traces,
+        config.pseudoscan_generation_config,
+    );
 
-        println!("ims_stats: {:?}", ims_stats);
-        println!("rt_stats: {:?}", rt_stats);
+    // Report min/max/average/std and skew for ims and rt
+    // This can probably be a macro ...
+    let ims_stats = utils::get_stats(&pseudoscans.iter().map(|x| x.ims as f64).collect::<Vec<_>>());
+    let ims_sd_stats = utils::get_stats(
+        &pseudoscans
+            .iter()
+            .map(|x| x.ims_std as f64)
+            .collect::<Vec<_>>(),
+    );
+    let rt_stats = utils::get_stats(&pseudoscans.iter().map(|x| x.rt as f64).collect::<Vec<_>>());
+    let rt_sd_stats = utils::get_stats(
+        &pseudoscans
+            .iter()
+            .map(|x| x.rt_std as f64)
+            .collect::<Vec<_>>(),
+    );
+    let npeaks = utils::get_stats(
+        &pseudoscans
+            .iter()
+            .map(|x| x.peaks.len() as f64)
+            .collect::<Vec<_>>(),
+    );
 
-        println!("ims_sd_stats: {:?}", ims_sd_stats);
-        println!("rt_sd_stats: {:?}", rt_sd_stats);
+    println!("ims_stats: {:?}", ims_stats);
+    println!("rt_stats: {:?}", rt_stats);
 
-        println!("npeaks: {:?}", npeaks);
+    println!("ims_sd_stats: {:?}", ims_sd_stats);
+    println!("rt_sd_stats: {:?}", rt_sd_stats);
 
-        let out = match out_path_scans {
-            Some(out_path) => aggregation::tracing::write_pseudoscans_json(&pseudoscans, out_path),
-            None => Ok(()),
-        };
+    println!("npeaks: {:?}", npeaks);
 
-        match out {
-            Ok(_) => {}
-            Err(e) => {
-                log::warn!("Error writing pseudoscans: {:?}", e);
-            }
-        }
-        pseudoscans
+    let out = match out_path_scans {
+        Some(out_path) => {
+            aggregation::pseudospectra::write_pseudoscans_json(&pseudoscans, out_path)
+        },
+        None => Ok(()),
     };
 
+    match out {
+        Ok(_) => {},
+        Err(e) => {
+            log::warn!("Error writing pseudoscans: {:?}", e);
+        },
+    }
+
     println!("pseudoscans: {:?}", pseudoscans.len());
     pseudoscans.retain(|x| x.peaks.len() > 5);
 
@@ -229,11 +233,7 @@ fn main() {
         config.sage_search_config,
         out_path_features.clone(),
         1,
-    );
-    match score_out {
-        Ok(_) => {}
-        Err(e) => {
-            log::error!("Error scoring pseudospectra: {:?}", e);
-        }
-    }
+    )?;
+
+    Ok(())
 }
diff --git a/src/mod_types.rs b/src/mod_types.rs
deleted file mode 100644
index 4bc0982..0000000
--- a/src/mod_types.rs
+++ /dev/null
@@ -1,10 +0,0 @@
-// Floating-point precision is configured here
-// https://users.rust-lang.org/t/generics-using-either-f32-or-f64/28647/3
-#[cfg(not(feature = "f64"))]
-pub type Float = f32;
-#[cfg(not(feature = "f64"))]
-pub use std::f32 as floats;
-#[cfg(feature = "f64")]
-pub type Float = f64;
-#[cfg(feature = "f64")]
-pub use std::f64 as floats;
diff --git a/src/ms/frames.rs b/src/ms/frames.rs
deleted file mode 100644
index 91fe0f8..0000000
--- a/src/ms/frames.rs
+++ /dev/null
@@ -1,403 +0,0 @@
-
-pub use timsrust::Frame;
-pub use timsrust::FrameType;
-pub use timsrust::{
-    ConvertableIndex, FileReader, Frame2RtConverter, Scan2ImConverter, Tof2MzConverter,
-};
-
-use crate::mod_types::Float;
-use crate::ms::tdf::{DIAFrameInfo, ScanRange};
-use crate::space::space_generics::NDPoint;
-use crate::visualization::RerunPlottable;
-
-use log::info;
-
-#[derive(Debug, Clone, Copy)]
-pub struct TimsPeak {
-    pub intensity: u32,
-    pub mz: f64,
-    pub mobility: f32,
-    pub npeaks: u32,
-}
-
-#[derive(Debug, Clone, Copy)]
-pub struct RawTimsPeak {
-    pub intensity: u32,
-    pub tof_index: u32,
-    pub scan_index: usize,
-}
-
-fn _check_peak_sanity(peak: &TimsPeak) {
-    debug_assert!(peak.intensity > 0);
-    debug_assert!(peak.mz > 0.);
-    debug_assert!(peak.mobility > 0.);
-    debug_assert!(peak.npeaks > 0);
-}
-
-#[derive(Debug, Clone, Copy)]
-pub enum SortingOrder {
-    Mz,
-    Mobility,
-    Intensity,
-}
-
-/// Unprocessed data from a 'Frame' after breaking by quad isolation_window + ims window.
-///
-///
-/// 1. every tof-index + intensity represents a peak.
-/// 2. Scan offsets are monotonically increasing.
-/// 3. Peaks are arranged in increasing m/z order WITHIN a scan.
-/// 4. Getting the peaks for scan #x in the frame is done by subsetting
-///    the tof indices and intensities.
-///     - scan_1_intensities = intensities[scan_offsets[1]:scan_offsets[2]]
-///     - scan_x_intensities = intensities[scan_offsets[x]:scan_offsets[x+1]]
-/// 5. The m/z values are a function of the tof indices (the measured m/z
-///    of tof index `x` will be the same within the same run/instrument
-///    calibration)
-///
-/// Frame                  Example values
-///    - Scan offsets.    [0,0,0,0,0,3,5,6 ...] n=number of scans
-///    - tof indices.     [100, 101, 102, 10, 20, 30 ...] len = len(intensities)
-///    - intensities.     [123, 111, 12 ,  3,  4,  1 ...] len = len(tof indices)
-///    - index            34
-///    - rt               65.34
-/// Additions for FrameWindow:
-///    - scan_start       123  // The scan number of the first scan offset in the current window.
-///    - group_id         1    // The group id of the current window.
-///    - quad_group_id    2    // The quad group id of the current window within the current group.
-#[derive(Debug, Clone)]
-pub struct FrameWindow {
-    /// A vector of length (s) where contiguous elements represent
-    ///
-    pub scan_offsets: Vec<u64>,
-    pub tof_indices: Vec<u32>,
-    pub intensities: Vec<u32>,
-    pub index: usize,
-    pub rt: f64,
-    pub frame_type: FrameType,
-    // From this point on they are local implementations
-    // Before they are used from the timsrust crate.
-    pub scan_start: usize,
-    pub group_id: usize,
-    pub quad_group_id: usize,
-}
-
-#[derive(Debug, Clone)]
-pub struct DenseFrame {
-    pub raw_peaks: Vec<TimsPeak>,
-    pub index: usize,
-    pub rt: f64,
-    pub frame_type: FrameType,
-    pub sorted: Option<SortingOrder>,
-}
-
-#[derive(Debug, Clone)]
-pub struct DenseFrameWindow {
-    pub frame: DenseFrame,
-    pub ims_start: f32,
-    pub ims_end: f32,
-    pub mz_start: f64,
-    pub mz_end: f64,
-    pub group_id: usize,
-    pub quad_group_id: usize,
-}
-
-impl DenseFrameWindow {
-    pub fn from_frame_window(
-        frame_window: FrameWindow,
-        ims_converter: &Scan2ImConverter,
-        mz_converter: &Tof2MzConverter,
-        dia_info: &DIAFrameInfo,
-    ) -> DenseFrameWindow {
-        let group_id = frame_window.group_id;
-        let quad_group_id = frame_window.quad_group_id;
-        let scan_start = frame_window.scan_start;
-
-        // NOTE: I am swapping here the 'scan start' to be the `ims_end` because
-        // the first scans have lower 1/k0 values.
-        let ims_end = ims_converter.convert(scan_start as u32) as f32;
-        let ims_start =
-            ims_converter.convert((frame_window.scan_offsets.len() + scan_start) as u32) as f32;
-        let scan_range: &ScanRange = dia_info
-            .get_quad_windows(group_id, quad_group_id)
-            .expect("Quad group id should be valid");
-
-        let frame = DenseFrame::from_frame_window(frame_window, ims_converter, mz_converter);
-
-        debug_assert!(ims_start <= ims_end);
-
-        DenseFrameWindow {
-            frame,
-            ims_start,
-            ims_end,
-            mz_start: scan_range.iso_low as f64,
-            mz_end: scan_range.iso_high as f64,
-            group_id,
-            quad_group_id,
-        }
-    }
-}
-
-impl DenseFrame {
-    pub fn new(
-        frame: &Frame,
-        ims_converter: &Scan2ImConverter,
-        mz_converter: &Tof2MzConverter,
-    ) -> DenseFrame {
-        let mut expanded_scan_indices = Vec::with_capacity(frame.tof_indices.len());
-        let mut last_scan_offset = frame.scan_offsets[0];
-        for (scan_index, index_offset) in frame.scan_offsets[1..].iter().enumerate() {
-            let num_tofs = index_offset - last_scan_offset;
-
-            let ims = ims_converter.convert(scan_index as u32) as f32;
-            expanded_scan_indices.extend(vec![ims; num_tofs]);
-            last_scan_offset = *index_offset;
-        }
-
-        let peaks = expanded_scan_indices
-            .iter()
-            .zip(frame.tof_indices.iter())
-            .zip(frame.intensities.iter())
-            .map(|((scan_index, tof_index), intensity)| TimsPeak {
-                intensity: *intensity,
-                mz: mz_converter.convert(*tof_index),
-                mobility: *scan_index,
-                npeaks: 1,
-            })
-            .collect::<Vec<_>>();
-
-        if cfg!(debug_assertions) {
-            for peak in peaks.iter() {
-                _check_peak_sanity(peak);
-            }
-        }
-
-        let index = frame.index;
-        let rt = frame.rt;
-        let frame_type = frame.frame_type;
-
-        DenseFrame {
-            raw_peaks: peaks,
-            index,
-            rt,
-            frame_type,
-            sorted: None,
-        }
-    }
-
-    pub fn from_frame_window(
-        frame_window: FrameWindow,
-        ims_converter: &Scan2ImConverter,
-        mz_converter: &Tof2MzConverter,
-    ) -> DenseFrame {
-        let mut expanded_scan_indices = Vec::with_capacity(frame_window.tof_indices.len());
-        let mut last_scan_offset = frame_window.scan_offsets[0];
-        for (scan_index, index_offset) in frame_window.scan_offsets[1..].iter().enumerate() {
-            let num_tofs = index_offset - last_scan_offset;
-            let scan_index_use = (scan_index + frame_window.scan_start) as u32;
-
-            let ims = ims_converter.convert(scan_index_use) as f32;
-            if ims < 0.0 {
-                info!("Negative IMS value: {}", ims);
-                info!("scan_index_use: {}", scan_index_use);
-                info!("scan_index: {}", scan_index);
-                info!("frame_window.scan_start: {}", frame_window.scan_start);
-            }
-            debug_assert!(ims >= 0.0);
-            expanded_scan_indices.extend(vec![ims; num_tofs as usize]);
-            last_scan_offset = *index_offset;
-        }
-        debug_assert!(last_scan_offset == frame_window.tof_indices.len() as u64);
-
-        let peaks = expanded_scan_indices
-            .iter()
-            .zip(frame_window.tof_indices.iter())
-            .zip(frame_window.intensities.iter())
-            .map(|((scan_index, tof_index), intensity)| TimsPeak {
-                intensity: *intensity,
-                mz: mz_converter.convert(*tof_index),
-                mobility: *scan_index,
-                npeaks: 1,
-            })
-            .collect::<Vec<_>>();
-
-        if cfg!(debug_assertions) {
-            for peak in peaks.iter() {
-                _check_peak_sanity(peak);
-            }
-        }
-
-        let index = frame_window.index;
-        let rt = frame_window.rt;
-        let frame_type = frame_window.frame_type;
-
-        DenseFrame {
-            raw_peaks: peaks,
-            index,
-            rt,
-            frame_type,
-            sorted: None,
-        }
-    }
-
-    fn concatenate(mut self, other: DenseFrame) -> DenseFrame {
-        self.raw_peaks.extend(other.raw_peaks);
-        self.sorted = None;
-        self
-    }
-
-    pub fn sort_by_mz(&mut self) {
-        match self.sorted {
-            Some(SortingOrder::Mz) => (),
-            _ => {
-                self.raw_peaks
-                    .sort_unstable_by(|a, b| a.mz.partial_cmp(&b.mz).unwrap());
-                self.sorted = Some(SortingOrder::Mz);
-            }
-        }
-    }
-
-    pub fn sort_by_mobility(&mut self) {
-        match self.sorted {
-            Some(SortingOrder::Mobility) => (),
-            _ => {
-                self.raw_peaks
-                    .sort_unstable_by(|a, b| a.mobility.partial_cmp(&b.mobility).unwrap());
-                self.sorted = Some(SortingOrder::Mobility);
-            }
-        }
-    }
-}
-
-pub type Converters = (timsrust::Scan2ImConverter, timsrust::Tof2MzConverter);
-
-impl RerunPlottable<Option<usize>> for DenseFrame {
-    fn plot(
-        &self,
-        rec: &mut rerun::RecordingStream,
-        entry_path: String,
-        log_time_in_seconds: Option<f32>,
-        _required_extras: Option<usize>,
-    ) -> Result<(), Box<dyn std::error::Error>> {
-        let rt = match log_time_in_seconds {
-            None => self.rt,
-            Some(log_time_in_seconds) => log_time_in_seconds as f64,
-        };
-        rec.set_time_seconds("rt_seconds", rt);
-
-        info!("Plotting frame {}::{}s into {}", self.index, rt, entry_path);
-        let min_mz = self
-            .raw_peaks
-            .iter()
-            .map(|peak| peak.mz)
-            .fold(f64::INFINITY, |a, b| a.min(b));
-        let max_mz = self
-            .raw_peaks
-            .iter()
-            .map(|peak| peak.mz)
-            .fold(f64::NEG_INFINITY, |a, b| a.max(b));
-        let min_mobility = self
-            .raw_peaks
-            .iter()
-            .map(|peak| peak.mobility as f64)
-            .fold(f64::INFINITY, |a, b| a.min(b));
-        let max_mobility = self
-            .raw_peaks
-            .iter()
-            .map(|peak| peak.mobility as f64)
-            .fold(f64::NEG_INFINITY, |a, b| a.max(b));
-        let num_points = self.raw_peaks.len();
-
-        info!(
-            "mz range: {:?}:{:?}, ims range {:?}:{:?}",
-            min_mz, max_mz, min_mobility, max_mobility
-        );
-        info!("num points: {}", num_points);
-        let quad_points = self
-            .raw_peaks
-            .iter()
-            .map(|peak| NDPoint {
-                values: [(peak.mz / 10.) as Float, (100. * peak.mobility as Float)],
-            })
-            .collect::<Vec<_>>();
-
-        let max_intensity = self.raw_peaks.iter().map(|peak| peak.intensity).max();
-
-        let max_intensity: f32 = match max_intensity {
-            None => {
-                info!("No max intensity found for frame {}", self.index);
-                0.
-            }
-            Some(max_intensity) => max_intensity as f32,
-        };
-
-        let radii = self
-            .raw_peaks
-            .iter()
-            .map(|peak| (peak.intensity as f32) / max_intensity)
-            .collect::<Vec<_>>();
-
-        rec.log(
-            entry_path.as_str(),
-            &rerun::Points2D::new(
-                quad_points
-                    .iter()
-                    .map(|point| (point.values[0], point.values[1])),
-            )
-            .with_radii(radii),
-        )?;
-
-        Ok(())
-    }
-}
-
-impl RerunPlottable<Converters> for Frame {
-    fn plot(
-        &self,
-        rec: &mut rerun::RecordingStream,
-        entry_path: String,
-        log_time_in_seconds: Option<f32>,
-        required_extras: Converters,
-    ) -> Result<(), Box<dyn std::error::Error>> {
-        let dense_frame = DenseFrame::new(self, &required_extras.0, &required_extras.1);
-        dense_frame.plot(rec, entry_path, log_time_in_seconds, None)
-    }
-}
-
-impl RerunPlottable<Option<usize>> for DenseFrameWindow {
-    fn plot(
-        &self,
-        rec: &mut rerun::RecordingStream,
-        entry_path: String,
-        log_time_in_seconds: Option<f32>,
-        required_extras: Option<usize>,
-    ) -> Result<(), Box<dyn std::error::Error>> {
-        let df = &self.frame;
-        df.plot(rec, entry_path, log_time_in_seconds, required_extras)
-    }
-}
-
-impl RerunPlottable<Option<usize>> for Vec<DenseFrameWindow> {
-    fn plot(
-        &self,
-        rec: &mut rerun::RecordingStream,
-        entry_path: String,
-        log_time_in_seconds: Option<f32>,
-        required_extras: Option<usize>,
-    ) -> Result<(), Box<dyn std::error::Error>> {
-        let mut peaks = Vec::new();
-        for dfw in self.iter() {
-            peaks.extend(dfw.frame.raw_peaks.clone());
-        }
-
-        let densepeak_plot = DenseFrame {
-            raw_peaks: peaks,
-            index: self[0].frame.index,
-            rt: self[0].frame.rt,
-            frame_type: FrameType::Unknown,
-            sorted: None,
-        };
-
-        densepeak_plot.plot(rec, entry_path, log_time_in_seconds, required_extras)
-    }
-}
diff --git a/src/ms/frames/dense_frame_window.rs b/src/ms/frames/dense_frame_window.rs
new file mode 100644
index 0000000..f49938e
--- /dev/null
+++ b/src/ms/frames/dense_frame_window.rs
@@ -0,0 +1,213 @@
+use log::info;
+use serde::Serialize;
+use timsrust::converters::{
+    ConvertableDomain,
+    Scan2ImConverter,
+    Tof2MzConverter,
+};
+use timsrust::{
+    AcquisitionType,
+    Frame,
+};
+
+use super::frames::SortingOrder;
+use super::{
+    DenseFrame,
+    FrameSlice,
+    SingleQuadrupoleSettings,
+    TimsPeak,
+};
+
+pub type Converters = (Scan2ImConverter, Tof2MzConverter);
+fn check_peak_sanity(peak: &TimsPeak) {
+    debug_assert!(peak.intensity > 0);
+    debug_assert!(peak.mz > 0.);
+    debug_assert!(peak.mobility > 0.);
+    debug_assert!(peak.npeaks > 0);
+}
+
+#[derive(Debug, Clone, Serialize)]
+pub struct DenseFrameWindow {
+    pub frame: DenseFrame,
+    pub ims_min: f32,
+    pub ims_max: f32,
+    pub group_id: usize,
+    pub quadrupole_setting: SingleQuadrupoleSettings,
+}
+
+impl DenseFrameWindow {
+    pub fn from_frame_window(
+        frame_window: &FrameSlice,
+        ims_converter: &Scan2ImConverter,
+        mz_converter: &Tof2MzConverter,
+    ) -> DenseFrameWindow {
+        let window_group_id = frame_window.window_group_id;
+        let foo = match frame_window.acquisition_type {
+            AcquisitionType::DiagonalDIAPASEF => {
+                // This branch should be easy to implement for things like synchro pasef...
+                // Some details to iron out though ...
+                panic!("Not implemented")
+            },
+            AcquisitionType::DIAPASEF => {
+                frame_window.quadrupole_settings.clone()
+
+                // let window_group_id = frame_window.window_group_id;
+                // let ww_quad_group_id = x.within_window_quad_group_id;
+                // let scan_start = frame_window.scan_start;
+                // (window_group_id, ww_quad_group_id, scan_start)
+            },
+            _ => panic!("Not implemented"),
+        };
+
+        // NOTE: I am swapping here the 'scan start' to be the `ims_end` because
+        // the first scans have lower 1/k0 values.
+        let ims_max = ims_converter.convert(foo.scan_start as u32) as f32;
+        let ims_min =
+            ims_converter.convert((frame_window.scan_offsets.len() + foo.scan_start) as u32) as f32;
+
+        debug_assert!(ims_max <= ims_min);
+
+        let frame = DenseFrame::from_frame_window(frame_window, ims_converter, mz_converter);
+
+        DenseFrameWindow {
+            frame,
+            ims_min,
+            ims_max,
+            group_id: window_group_id.into(),
+            quadrupole_setting: foo,
+        }
+    }
+}
+
+impl DenseFrame {
+    pub fn from_frame(
+        frame: &Frame,
+        ims_converter: &Scan2ImConverter,
+        mz_converter: &Tof2MzConverter,
+    ) -> DenseFrame {
+        let mut expanded_scan_indices = Vec::with_capacity(frame.tof_indices.len());
+        let mut last_scan_offset = frame.scan_offsets[0];
+        for (scan_index, index_offset) in frame.scan_offsets[1..].iter().enumerate() {
+            let num_tofs = index_offset - last_scan_offset;
+
+            let ims = ims_converter.convert(scan_index as u32) as f32;
+            expanded_scan_indices.extend(vec![ims; num_tofs as usize]);
+            last_scan_offset = *index_offset;
+        }
+
+        let peaks = expanded_scan_indices
+            .iter()
+            .zip(frame.tof_indices.iter())
+            .zip(frame.intensities.iter())
+            .map(|((scan_index, tof_index), intensity)| TimsPeak {
+                intensity: *intensity,
+                mz: mz_converter.convert(*tof_index),
+                mobility: *scan_index,
+                npeaks: 1,
+            })
+            .collect::<Vec<_>>();
+
+        if cfg!(debug_assertions) {
+            for peak in peaks.iter() {
+                check_peak_sanity(peak);
+            }
+        }
+
+        let index = frame.index;
+        let rt = frame.rt;
+        let acquisition_type = frame.acquisition_type;
+        let ms_level = frame.ms_level;
+
+        DenseFrame {
+            raw_peaks: peaks,
+            index,
+            rt,
+            acquisition_type,
+            ms_level,
+            sorted: None,
+            intensity_correction_factor: frame.intensity_correction_factor,
+            window_group_id: frame.window_group,
+        }
+    }
+
+    pub fn from_frame_window(
+        frame_window: &FrameSlice,
+        ims_converter: &Scan2ImConverter,
+        mz_converter: &Tof2MzConverter,
+    ) -> DenseFrame {
+        let mut expanded_scan_indices = Vec::with_capacity(frame_window.tof_indices.len());
+        let mut last_scan_offset = frame_window.scan_offsets[0];
+        for (scan_index, index_offset) in frame_window.scan_offsets[1..].iter().enumerate() {
+            let num_tofs = index_offset - last_scan_offset;
+            let scan_index_use = (scan_index + frame_window.scan_start) as u32;
+
+            let ims = ims_converter.convert(scan_index as f64) as f32;
+            if ims < 0.0 {
+                info!("Negative IMS value: {}", ims);
+                info!("scan_index_use: {}", scan_index_use);
+                info!("scan_index: {}", scan_index);
+                info!("frame_window.scan_start: {}", frame_window.scan_start);
+            }
+            debug_assert!(ims >= 0.0);
+            expanded_scan_indices.extend(vec![ims; num_tofs as usize]);
+            last_scan_offset = *index_offset;
+        }
+        debug_assert!(last_scan_offset as usize == frame_window.tof_indices.len());
+
+        let peaks = expanded_scan_indices
+            .iter()
+            .zip(frame_window.tof_indices.iter())
+            .zip(frame_window.intensities.iter())
+            .map(|((scan_index, tof_index), intensity)| TimsPeak {
+                intensity: *intensity,
+                mz: mz_converter.convert(*tof_index),
+                mobility: *scan_index,
+                npeaks: 1,
+            })
+            .collect::<Vec<_>>();
+
+        if cfg!(debug_assertions) {
+            for peak in peaks.iter() {
+                check_peak_sanity(peak);
+            }
+        }
+
+        let index = frame_window.parent_frame_index;
+        let rt = frame_window.rt;
+        let acquisition_type = frame_window.acquisition_type;
+        let ms_level = frame_window.ms_level;
+
+        DenseFrame {
+            raw_peaks: peaks,
+            index,
+            rt,
+            acquisition_type,
+            ms_level,
+            sorted: None,
+            intensity_correction_factor: frame_window.intensity_correction_factor,
+            window_group_id: frame_window.window_group_id,
+        }
+    }
+
+    pub fn sort_by_mz(&mut self) {
+        match self.sorted {
+            Some(SortingOrder::Mz) => (),
+            _ => {
+                self.raw_peaks
+                    .sort_unstable_by(|a, b| a.mz.partial_cmp(&b.mz).unwrap());
+                self.sorted = Some(SortingOrder::Mz);
+            },
+        }
+    }
+
+    pub fn sort_by_mobility(&mut self) {
+        match self.sorted {
+            Some(SortingOrder::Mobility) => (),
+            _ => {
+                self.raw_peaks
+                    .sort_unstable_by(|a, b| a.mobility.partial_cmp(&b.mobility).unwrap());
+                self.sorted = Some(SortingOrder::Mobility);
+            },
+        }
+    }
+}
diff --git a/src/ms/frames/frame_slice.rs b/src/ms/frames/frame_slice.rs
new file mode 100644
index 0000000..0e2b828
--- /dev/null
+++ b/src/ms/frames/frame_slice.rs
@@ -0,0 +1,1045 @@
+use std::fmt;
+
+use serde::Serialize;
+use timsrust::{
+    AcquisitionType,
+    Frame,
+    MSLevel,
+};
+
+use super::SingleQuadrupoleSettings;
+use crate::space::space_generics::{
+    AsNDPointsAtIndex,
+    IntenseAtIndex,
+    NDBoundary,
+    NDPoint,
+    QueriableIndexedPoints,
+};
+use crate::utils::binary_search_slice;
+
+#[derive(Debug, Clone, Copy)]
+pub enum ScanNumberType {
+    Global(usize),
+    Local(usize),
+}
+
+#[derive(Debug, Clone, Copy, PartialEq)]
+pub struct MaxBounds {
+    requested: usize,
+    limit: usize,
+    local_limit: usize,
+}
+
+#[derive(Debug, Clone, Copy, PartialEq)]
+pub enum ScanOutOfBoundsError {
+    Global(MaxBounds),
+    Local(MaxBounds),
+}
+
+impl ScanOutOfBoundsError {
+    pub fn local_limit(&self) -> usize {
+        match self {
+            ScanOutOfBoundsError::Global(x) => x.local_limit,
+            ScanOutOfBoundsError::Local(x) => x.local_limit,
+        }
+    }
+}
+
+impl fmt::Display for ScanOutOfBoundsError {
+    fn fmt(
+        &self,
+        f: &mut std::fmt::Formatter,
+    ) -> std::fmt::Result {
+        match self {
+            ScanOutOfBoundsError::Global(x) => {
+                write!(
+                    f,
+                    "Global scan number out of bounds. Requested: {}, Limit: {}",
+                    x.requested, x.limit
+                )
+            },
+            ScanOutOfBoundsError::Local(x) => {
+                write!(
+                    f,
+                    "Local scan number out of bounds. Requested: {}, Limit: {}",
+                    x.requested, x.limit
+                )
+            },
+        }
+    }
+}
+
+/// Unprocessed data from a 'Frame' after breaking by quad isolation_window + ims window.
+///
+/// 1. every tof-index + intensity represents a peak.
+/// 2. Scan offsets are monotonically increasing.
+/// 3. Peaks are arranged in increasing m/z order WITHIN a scan.
+/// 4. Getting the peaks for scan #x in the frame_slice is done by subsetting
+///    the tof indices and intensities, and subtracting the offset of the first
+///    scan.
+///     - scan_1_intensities = intensities[scan_offsets[1]-scan_offsets[0]:scan_offsets[2]-scan_offsets[0]]
+///     - scan_x_intensities = intensities[scan_offsets[x]-scan_offsets[0]:scan_offsets[x+1]-scan_offsets[0]]
+///     - NOTE: to get the peaks in the scan #y IN THE FRAME (not the frame slice)
+///       you need to add to subtract the scan_start from the scan number.
+///         - scan_y_intensities = intensities[scan_offsets[y-scan_start]-scan_offsets[0]:scan_offsets[y-scan_start+1]-scan_offsets[0]]
+///         - Then obviously, scans < scan_start are not in the frame slice.
+/// 5. The m/z values are a function of the tof indices (the measured m/z
+///    of tof index `x` will be the same within the same run/instrument
+///    calibration)
+///
+/// Frame                  Example values
+///    - Scan offsets.    `[0,0,0,0,0,3,5,6 ...]` n=number of scans
+///    - tof indices.     `[100, 101, 102, 10, 20, 30 ...]` len = len(intensities)
+///    - intensities.     `[123, 111, 12 ,  3,  4,  1 ...]` len = len(tof indices)
+///    - rt               65.34
+///
+/// Renamed from the frame:
+///    - parent_frame_index   34 // renamed from Frame.index for clarity.
+///    - window_group_id   4 // renamed from Frame.window_group for clarity.
+///
+/// Additions for FrameSlice:
+///    - scan_start       123  // The scan number of the first scan offset in the current window.
+#[derive(Debug, Clone, Serialize)]
+pub struct FrameSlice<'a> {
+    pub scan_offsets: &'a [usize],
+    pub tof_indices: &'a [u32],
+    pub intensities: &'a [u32],
+    pub parent_frame_index: usize,
+    pub rt: f64,
+    pub window_group_id: u8,
+    pub intensity_correction_factor: f64,
+
+    #[serde(skip)]
+    pub ms_level: MSLevel,
+
+    #[serde(skip)]
+    pub acquisition_type: AcquisitionType,
+
+    #[serde(skip)]
+    pub quadrupole_settings: SingleQuadrupoleSettings,
+
+    // From this point on they are local implementations
+    // Before they are used from the timsrust crate.
+    pub scan_start: usize,
+}
+
+#[derive(Debug, Clone, Serialize)]
+pub struct ExpandedFrameSlice {
+    pub scan_numbers: Vec<usize>,
+    pub tof_indices: Vec<u32>,
+    pub intensities: Vec<u32>,
+    pub parent_frame_index: usize,
+    pub rt: f64,
+    pub window_group_id: u8,
+    pub intensity_correction_factor: f64,
+
+    #[serde(skip)]
+    pub quadrupole_settings: SingleQuadrupoleSettings,
+
+    #[serde(skip)]
+    pub acquisition_type: AcquisitionType,
+
+    #[serde(skip)]
+    pub ms_level: MSLevel,
+}
+
+impl<'a> FrameSlice<'a> {
+    pub fn from_frame(frame: &'a Frame) -> Vec<FrameSlice<'a>> {
+        let quad_settings = frame.quadrupole_settings.clone();
+        if quad_settings.len() == 0 {
+            panic!("Runtime error, at this stage at least one quadrupole setting is required");
+        }
+
+        let out = (0..quad_settings.len())
+            .map(|i| {
+                let quad_info =
+                    SingleQuadrupoleSettings::from_quad_settings(quad_settings.clone(), i);
+                FrameSlice::slice_frame(frame, quad_info)
+            })
+            .collect::<Vec<_>>();
+
+        out
+    }
+
+    fn slice_frame(
+        frame: &'a Frame,
+        quad_info: SingleQuadrupoleSettings,
+    ) -> FrameSlice<'a> {
+        let scan_start = quad_info.scan_start;
+        let scan_end = quad_info.scan_end;
+        let scan_offsets = &frame.scan_offsets[scan_start..=scan_end];
+
+        let indprt_start = scan_offsets[0] as usize;
+        let indptr_end = *scan_offsets.last().expect("Scan range is empty") as usize;
+
+        let tof_indices = &frame.tof_indices[indprt_start..indptr_end];
+        let intensities = &frame.intensities[indprt_start..indptr_end];
+        debug_assert!(tof_indices.len() == intensities.len());
+        debug_assert!(indptr_end - indprt_start == tof_indices.len());
+        #[cfg(debug_assertions)]
+        {
+            let init_offset = scan_offsets[0];
+            for i in 1..(scan_offsets.len() - 1) {
+                debug_assert!(scan_offsets[i] <= scan_offsets[i + 1]);
+                debug_assert!(
+                    (scan_offsets[i + 1] - init_offset) <= tof_indices.len(),
+                    "scan_offsets[i+1]: {}, init_offset: {}, tof_indices.len(): {}",
+                    scan_offsets[i + 1],
+                    init_offset,
+                    tof_indices.len()
+                );
+            }
+        }
+
+        FrameSlice {
+            scan_offsets,
+            tof_indices,
+            intensities,
+            parent_frame_index: frame.index,
+            rt: frame.rt,
+            ms_level: frame.ms_level,
+            acquisition_type: frame.acquisition_type,
+            scan_start,
+            quadrupole_settings: quad_info,
+            window_group_id: frame.window_group,
+            intensity_correction_factor: frame.intensity_correction_factor,
+        }
+    }
+
+    /// Get the global scan number at the local index.
+    ///
+    /// This means that ... provided the index of a tof index in the frame slice,
+    /// this function will return the global scan number that tof index would belong
+    /// to... in other words, "what is the scan number in the parent frame where peak
+    /// number `x` in the frame slice would be found in the parent frame?"
+    pub fn global_scan_at_index(
+        &self,
+        local_index: usize,
+    ) -> usize {
+        debug_assert!(local_index < self.tof_indices.len());
+        let search_val = self.scan_offsets[0] + local_index;
+        let loc = self
+            .scan_offsets
+            .binary_search_by(|x| x.partial_cmp(&search_val).unwrap());
+
+        let local_scan_index = match loc {
+            Ok(mut x) => {
+                while self.scan_offsets[x] == search_val {
+                    x += 1;
+                }
+                x - 1
+            },
+            Err(x) => x - 1,
+        };
+        self.scan_start + local_scan_index
+    }
+
+    pub fn explode_scan_numbers(&self) -> Vec<usize> {
+        let mut scan_numbers = Vec::with_capacity(self.tof_indices.len());
+        let curr_scan = self.scan_start;
+
+        for (scan_index, index_offsets) in self.scan_offsets.windows(2).enumerate() {
+            let num_tofs = index_offsets[1] - index_offsets[0];
+            scan_numbers.extend(vec![curr_scan + scan_index; num_tofs as usize]);
+        }
+
+        if cfg!(debug_assertions) {
+            // Check that all are monotonically increasing with min == scan_start
+            let mut last_scan = 0;
+            for scan in scan_numbers.iter() {
+                debug_assert!(*scan >= last_scan);
+                last_scan = *scan;
+            }
+
+            // debug_assert_eq!(scan_numbers[0], self.scan_start);
+            debug_assert!(scan_numbers[0] >= self.scan_start);
+            debug_assert!(scan_numbers.len() == self.tof_indices.len());
+            debug_assert!(
+                scan_numbers.last().unwrap() <= &(self.scan_offsets.len() - 1 + self.scan_start)
+            );
+        }
+        scan_numbers
+    }
+
+    /// Get the tof indices and intensities at a scan number.
+    ///
+    /// Returns a tuple.
+    /// The first element is another tuple of the tof indices and intensities at the scan number.
+    /// The second element is the offset of the first local tof index in the scan.
+    ///
+    pub fn tof_intensities_at_scan(
+        &self,
+        scan_number: ScanNumberType,
+    ) -> Result<((&[u32], &[u32]), usize), ScanOutOfBoundsError> {
+        let local_scan_number = self.scan_number_to_local(scan_number)?;
+        Ok(self.tof_intensities_at_local_scan(local_scan_number))
+    }
+
+    pub fn scan_number_to_local(
+        &self,
+        scan_number: ScanNumberType,
+    ) -> Result<usize, ScanOutOfBoundsError> {
+        match scan_number {
+            ScanNumberType::Global(x) => {
+                if x < self.scan_start {
+                    Err(ScanOutOfBoundsError::Global(MaxBounds {
+                        requested: x,
+                        limit: self.scan_start,
+                        local_limit: 0,
+                    }))
+                } else if x >= self.scan_start + self.scan_offsets.len() {
+                    Err(ScanOutOfBoundsError::Global(MaxBounds {
+                        requested: x,
+                        limit: self.scan_start + self.scan_offsets.len(),
+                        local_limit: self.scan_offsets.len() - 1,
+                    }))
+                } else {
+                    Ok(x - self.scan_start)
+                }
+            },
+            ScanNumberType::Local(x) => {
+                if x >= self.scan_offsets.len() {
+                    Err(ScanOutOfBoundsError::Local(MaxBounds {
+                        requested: x,
+                        limit: self.scan_offsets.len(),
+                        local_limit: self.scan_offsets.len() - 1,
+                    }))
+                } else {
+                    Ok(x)
+                }
+            },
+        }
+    }
+
+    fn tof_intensities_at_local_scan(
+        &self,
+        scan_index: usize,
+    ) -> ((&[u32], &[u32]), usize) {
+        let offset_offset = self.scan_offsets[0];
+        let scan_start = (self.scan_offsets[scan_index] - offset_offset) as usize;
+        let scan_end = (self.scan_offsets[scan_index + 1] - offset_offset) as usize;
+        let tof_indices = &self.tof_indices[scan_start..scan_end];
+        let intensities = &self.intensities[scan_start..scan_end];
+        ((tof_indices, intensities), scan_start)
+    }
+
+    pub fn tof_range_in_tolerance_at_scan<T>(
+        &self,
+        tof_index: i32,
+        scan_number: ScanNumberType,
+        tolerance: &T,
+    ) -> Result<Option<Range>, ScanOutOfBoundsError>
+    where
+        T: FramePointTolerance,
+    {
+        // TODO implement later a two pointer approach for sorted slices of tof indices.
+        let ((tof_indices, _), local_tof_index_start) =
+            self.tof_intensities_at_scan(scan_number)?;
+        let tof_len = tof_indices.len();
+        let (start, end) = tolerance.tof_index_range(tof_index as u32);
+        let tof_index_start = tof_indices.binary_search_by(|x| x.partial_cmp(&start).unwrap());
+        let tof_index_end = tof_indices.binary_search_by(|x| x.partial_cmp(&end).unwrap());
+        let tof_index_start = match tof_index_start {
+            Ok(mut x) => {
+                while x > 0 && tof_indices[x - 1] >= start {
+                    x -= 1;
+                }
+                x
+            },
+            Err(x) => x,
+        };
+
+        if tof_index_start >= tof_len {
+            return Ok(None);
+        };
+
+        let tof_index_end = match tof_index_end {
+            Ok(x) => x, // On this branch we dont add more bc tof indices are unique.
+            Err(mut x) => {
+                while x < tof_len && tof_indices[x] < end {
+                    println!("tof_indices[x]: {}, x: {}", tof_indices[x], x);
+                    x += 1;
+                }
+                x
+            },
+        };
+
+        if tof_index_end > tof_index_start {
+            Ok(Some((
+                tof_index_start + local_tof_index_start,
+                tof_index_end + local_tof_index_start,
+            )))
+        } else {
+            Ok(None)
+        }
+    }
+
+    pub fn matching_rangeset<T>(
+        &self,
+        tof_index: i32,
+        scan_number: ScanNumberType,
+        tolerance: &T,
+    ) -> Option<RangeSet>
+    where
+        T: FramePointTolerance,
+    {
+        let mut ranges = RangeSet {
+            ranges: Vec::new(),
+            offset: 0,
+        };
+
+        let scan_range = tolerance.scan_range(scan_number);
+        let local_start = match self.scan_number_to_local(scan_range.0) {
+            Ok(x) => x,
+            Err(x) => x.local_limit(),
+        };
+        let local_end = match self.scan_number_to_local(scan_range.1) {
+            Ok(x) => x,
+            Err(x) => x.local_limit(),
+        };
+
+        for scan_number in local_start..local_end {
+            let tmp = self.tof_range_in_tolerance_at_scan(
+                tof_index,
+                ScanNumberType::Local(scan_number),
+                tolerance,
+            );
+
+            if let Ok(Some(range_offset)) = tmp {
+                ranges.ranges.push(range_offset);
+            }
+        }
+
+        if cfg!(debug_assertions) {
+            debug_assert!(!ranges.any_overlap());
+        }
+
+        if ranges.ranges.is_empty() {
+            None
+        } else {
+            Some(ranges)
+        }
+    }
+
+    pub fn tof_int_at_index(
+        &self,
+        index: usize,
+    ) -> (u32, u32) {
+        (self.tof_indices[index], self.intensities[index])
+    }
+}
+
+impl ExpandedFrameSlice {
+    pub fn from_frame_slice(frame_slice: &FrameSlice) -> ExpandedFrameSlice {
+        let parent_frame_index = frame_slice.parent_frame_index;
+        let rt = frame_slice.rt;
+        let quadrupole_settings = frame_slice.quadrupole_settings.clone();
+        let acquisition_type = frame_slice.acquisition_type;
+        let ms_level = frame_slice.ms_level;
+        let scan_numbers = frame_slice.explode_scan_numbers();
+
+        // Sort all arrays on the tof indices.
+        let mut zipped = frame_slice
+            .tof_indices
+            .iter()
+            .zip(frame_slice.intensities.iter())
+            .zip(scan_numbers.iter())
+            .collect::<Vec<_>>();
+
+        zipped.sort_unstable_by(|a, b| a.0 .0.cmp(b.0 .0));
+
+        let (tof_indices, intensities, scan_numbers) = zipped.into_iter().fold(
+            (Vec::new(), Vec::new(), Vec::new()),
+            |(mut tof_indices, mut intensities, mut scan_numbers),
+             ((tof_index, intensity), scan_number)| {
+                tof_indices.push(*tof_index);
+                intensities.push(*intensity);
+                scan_numbers.push(*scan_number);
+                (tof_indices, intensities, scan_numbers)
+            },
+        );
+
+        ExpandedFrameSlice {
+            scan_numbers,
+            tof_indices,
+            intensities,
+            parent_frame_index,
+            rt,
+            quadrupole_settings,
+            acquisition_type,
+            ms_level,
+            window_group_id: frame_slice.window_group_id.clone(),
+            intensity_correction_factor: frame_slice.intensity_correction_factor.clone(),
+        }
+    }
+}
+
+// Tests for the FrameSlice
+#[cfg(test)]
+mod tests {
+    use std::sync::Arc;
+
+    use timsrust::{
+        MSLevel,
+        QuadrupoleSettings,
+    };
+
+    use super::*;
+
+    fn sample_frame() -> Frame {
+        let ms1_quad_settings = QuadrupoleSettings {
+            index: 0,
+            scan_starts: vec![],
+            scan_ends: vec![],
+            isolation_mz: vec![],
+            isolation_width: vec![],
+            collision_energy: vec![],
+        };
+        let arc_ms1_quad_settings = Arc::new(ms1_quad_settings);
+        Frame {
+            index: 0,
+            scan_offsets: vec![0, 0, 0, 0, 0, 3, 5, 6],
+            tof_indices: vec![100, 101, 102, 10, 20, 30],
+            intensities: vec![123, 111, 12, 3, 4, 1],
+            rt: 65.34,
+            ms_level: MSLevel::MS1,
+            acquisition_type: AcquisitionType::DIAPASEF,
+            quadrupole_settings: arc_ms1_quad_settings,
+            window_group: 0,
+            intensity_correction_factor: 1.,
+        }
+    }
+
+    #[test]
+    fn test_frame_slice() {
+        let frame = sample_frame();
+        let quad_setting = SingleQuadrupoleSettings {
+            parent_index: 0,
+            scan_start: 3,
+            scan_end: 5,
+            isolation_mz: 100.,
+            isolation_max: 100.,
+            isolation_min: 100.,
+            isolation_width: 25.,
+            collision_energy: 10.,
+        };
+        let frame_slice = FrameSlice::slice_frame(&frame, quad_setting);
+
+        assert_eq!(frame_slice.scan_offsets, &[0, 0, 3]);
+        assert_eq!(frame_slice.tof_indices, &[100, 101, 102]);
+        assert_eq!(frame_slice.intensities, &[123, 111, 12]);
+        assert_eq!(frame_slice.parent_frame_index, 0);
+        assert_eq!(frame_slice.rt, 65.34);
+        assert_eq!(frame_slice.ms_level, MSLevel::MS1);
+        assert_eq!(frame_slice.scan_start, 3);
+    }
+
+    #[test]
+    fn test_global_scan_at_index() {
+        let frame = sample_frame();
+        let quad_setting = SingleQuadrupoleSettings {
+            parent_index: 0,
+            scan_start: 3,
+            scan_end: 5,
+            isolation_mz: 100.,
+            isolation_max: 100.,
+            isolation_min: 100.,
+            isolation_width: 25.,
+            collision_energy: 10.,
+        };
+        let frame_slice = FrameSlice::slice_frame(&frame, quad_setting);
+
+        assert_eq!(frame_slice.tof_indices, &[100, 101, 102]);
+        assert_eq!(frame_slice.global_scan_at_index(0), 4);
+        assert_eq!(frame_slice.global_scan_at_index(1), 4);
+        assert_eq!(frame_slice.global_scan_at_index(2), 4);
+    }
+
+    #[test]
+    #[should_panic]
+    fn test_global_scan_at_index_oob_fails() {
+        // these should fail ... test that it fails.
+        let frame = sample_frame();
+        let quad_setting = SingleQuadrupoleSettings {
+            parent_index: 0,
+            scan_start: 3,
+            scan_end: 5,
+            isolation_mz: 100.,
+            isolation_max: 100.,
+            isolation_min: 100.,
+            isolation_width: 25.,
+            collision_energy: 10.,
+        };
+        let frame_slice = FrameSlice::slice_frame(&frame, quad_setting);
+        assert_eq!(frame_slice.tof_indices, &[100, 101, 102]);
+        frame_slice.global_scan_at_index(3);
+    }
+
+    #[test]
+    fn test_explode_scan_numbers() {
+        let frame = sample_frame();
+        let quad_setting = SingleQuadrupoleSettings {
+            parent_index: 0,
+            scan_start: 3,
+            scan_end: 5,
+            isolation_mz: 100.,
+            isolation_max: 100.,
+            isolation_min: 100.,
+            isolation_width: 25.,
+            collision_energy: 10.,
+        };
+        let frame_slice = FrameSlice::slice_frame(&frame, quad_setting);
+        assert_eq!(frame_slice.tof_indices, &[100, 101, 102]);
+        assert_eq!(frame_slice.scan_offsets, &[0, 0, 3]);
+        assert_eq!(frame_slice.explode_scan_numbers(), vec![4, 4, 4]);
+    }
+
+    #[test]
+    fn test_tof_intensities_at_scan() {
+        let frame = sample_frame();
+        let quad_setting = SingleQuadrupoleSettings {
+            parent_index: 0,
+            scan_start: 3,
+            scan_end: 5,
+            isolation_mz: 100.,
+            isolation_max: 100.,
+            isolation_min: 100.,
+            isolation_width: 25.,
+            collision_energy: 10.,
+        };
+        let frame_slice = FrameSlice::slice_frame(&frame, quad_setting);
+
+        assert_eq!(frame_slice.tof_indices, &[100, 101, 102]);
+        assert_eq!(frame_slice.scan_offsets, &[0, 0, 3]);
+        assert_eq!(frame_slice.intensities, &[123, 111, 12]);
+
+        let arg_expects = vec![
+            (
+                ScanNumberType::Global(4),
+                Ok(((vec![100, 101, 102], vec![123, 111, 12]), 0)),
+            ),
+            (
+                ScanNumberType::Local(1),
+                Ok(((vec![100, 101, 102], vec![123, 111, 12]), 0)),
+            ),
+            (
+                ScanNumberType::Global(2),
+                Err(ScanOutOfBoundsError::Global(MaxBounds {
+                    requested: 2,
+                    limit: 3,
+                    local_limit: 0,
+                })),
+            ),
+            (ScanNumberType::Global(3), Ok(((Vec::new(), Vec::new()), 0))),
+            (ScanNumberType::Local(0), Ok(((Vec::new(), Vec::new()), 0))),
+        ];
+
+        for (arg, expect) in arg_expects {
+            println!("arg: {:?}", arg);
+            let val = frame_slice.tof_intensities_at_scan(arg);
+            match (val, expect) {
+                (Ok(x), Ok(y)) => {
+                    assert_eq!(x.0 .0, y.0 .0);
+                    assert_eq!(x.0 .1, y.0 .1);
+                    assert_eq!(x.1, y.1);
+                },
+                (Err(x), Err(y)) => {
+                    assert_eq!(x, y);
+                },
+                (Ok(x), Err(y)) => panic!("Mismatch {:?} vs {:?}", x, y),
+                (Err(x), Ok(y)) => panic!("Mismatch {:?} vs {:?}", x, y),
+            }
+        }
+    }
+
+    #[test]
+    fn test_tof_range_in_tolerance_at_scan() {
+        let frame = sample_frame();
+        let quad_setting = SingleQuadrupoleSettings {
+            parent_index: 0,
+            scan_start: 3,
+            scan_end: 7,
+            isolation_mz: 100.,
+            isolation_max: 100.,
+            isolation_min: 100.,
+            isolation_width: 25.,
+            collision_energy: 10.,
+        };
+        let frame_slice = FrameSlice::slice_frame(&frame, quad_setting);
+
+        assert_eq!(frame_slice.tof_indices, &[100, 101, 102, 10, 20, 30]);
+        assert_eq!(frame_slice.scan_offsets, &[0, 0, 3, 5, 6]);
+        assert_eq!(frame_slice.intensities, &[123, 111, 12, 3, 4, 1]);
+
+        let tolerance = AbsoluteFramePointTolerance {
+            tof_index_tolerance: 1,
+            scan_tolerance: 1,
+        };
+
+        let param_expect_vec = vec![
+            (10, ScanNumberType::Global(5), Ok(Some((3, 4)))),
+            (1, ScanNumberType::Global(5), Ok(None)),
+            (10, ScanNumberType::Global(4), Ok(None)),
+            (100, ScanNumberType::Global(4), Ok(Some((0, 1)))),
+            (101, ScanNumberType::Global(4), Ok(Some((0, 2)))),
+            (102, ScanNumberType::Global(4), Ok(Some((1, 3)))),
+            (100, ScanNumberType::Global(3), Ok(None)),
+            (100, ScanNumberType::Global(5), Ok(None)),
+            (
+                100,
+                ScanNumberType::Global(2),
+                Err(ScanOutOfBoundsError::Global(MaxBounds {
+                    requested: 2,
+                    limit: 3,
+                    local_limit: 0,
+                })),
+            ),
+            (
+                100,
+                ScanNumberType::Global(1),
+                Err(ScanOutOfBoundsError::Global(MaxBounds {
+                    requested: 1,
+                    limit: 3,
+                    local_limit: 0,
+                })),
+            ),
+            (
+                100,
+                ScanNumberType::Global(0),
+                Err(ScanOutOfBoundsError::Global(MaxBounds {
+                    requested: 0,
+                    limit: 3,
+                    local_limit: 0,
+                })),
+            ),
+        ];
+        for (tof_index, scan_number, expect) in param_expect_vec {
+            println!("tof_index: {}, scan_number: {:?}", tof_index, scan_number);
+            let val =
+                frame_slice.tof_range_in_tolerance_at_scan(tof_index, scan_number, &tolerance);
+
+            match (val, expect) {
+                (Ok(Some(x)), Ok(Some(y))) => {
+                    assert_eq!(x, y);
+                },
+                (Ok(None), Ok(None)) => (),
+                (Err(x), Err(y)) => {
+                    assert_eq!(x, y);
+                },
+                (Ok(x), Ok(None)) => panic!("Mismatch {:?} vs {:?}", x, expect),
+                (Ok(None), Ok(x)) => panic!("Mismatch {:?} vs {:?}", x, expect),
+                (Err(x), Ok(y)) => panic!("Mismatch {:?} vs {:?}", x, y),
+                (Ok(x), Err(y)) => panic!("Mismatch {:?} vs {:?}", x, y),
+            }
+        }
+    }
+
+    fn sample_ms2_frame() -> Frame {
+        let ms2_quad_settings = QuadrupoleSettings {
+            index: 0,
+            scan_starts: vec![2, 6],
+            scan_ends: vec![5, 9],
+            isolation_mz: vec![100., 101.],
+            isolation_width: vec![25., 25.],
+            collision_energy: vec![10., 10.],
+        };
+        let arc_ms2_quad_settings = Arc::new(ms2_quad_settings);
+        Frame {
+            index: 0,
+            scan_offsets: vec![0, 0, 3, 5, 6],
+            tof_indices: vec![100, 101, 102, 10, 20, 30],
+            intensities: vec![123, 111, 12, 3, 4, 1],
+            rt: 65.34,
+            ms_level: MSLevel::MS2,
+            acquisition_type: AcquisitionType::DIAPASEF,
+            quadrupole_settings: arc_ms2_quad_settings,
+            window_group: 1,
+            intensity_correction_factor: 1.,
+        }
+    }
+}
+
+impl IntenseAtIndex for ExpandedFrameSlice {
+    fn intensity_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        self.intensities[index] as u64
+    }
+    fn weight_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        self.intensities[index] as u64
+    }
+
+    fn intensity_index_length(&self) -> usize {
+        self.intensities.len()
+    }
+}
+
+impl<'a> IntenseAtIndex for FrameSlice<'a> {
+    fn intensity_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        self.intensities[index] as u64
+    }
+    fn weight_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        self.intensities[index] as u64
+    }
+
+    fn intensity_index_length(&self) -> usize {
+        self.intensities.len()
+    }
+
+    // fn get_intense_at_index(
+    //     &self,
+    //     index: usize,
+    // ) -> RawTimsPeak {
+    //     let intensity = self.intensities[index];
+    //     let tof_index = self.tof_indices[index];
+    //     let scan_index = self.global_scan_at_index(index);
+
+    //     let out = RawTimsPeak {
+    //         intensity,
+    //         tof_index,
+    //         scan_index,
+    //     };
+
+    //     out
+    // }
+}
+
+impl AsNDPointsAtIndex<2> for ExpandedFrameSlice {
+    fn get_ndpoint(
+        &self,
+        index: usize,
+    ) -> NDPoint<2> {
+        let scan_index = self.scan_numbers[index];
+        let tof_index = self.tof_indices[index];
+
+        NDPoint {
+            values: [tof_index as f32, scan_index as f32],
+        }
+    }
+
+    fn num_ndpoints(&self) -> usize {
+        self.intensities.len()
+    }
+}
+
+impl<'a> AsNDPointsAtIndex<2> for FrameSlice<'a> {
+    fn get_ndpoint(
+        &self,
+        index: usize,
+    ) -> NDPoint<2> {
+        let tof_index = self.tof_indices[index];
+        let scan_index = self.global_scan_at_index(index);
+
+        NDPoint {
+            values: [tof_index as f32, scan_index as f32],
+        }
+    }
+
+    fn num_ndpoints(&self) -> usize {
+        self.intensities.len()
+    }
+}
+
+impl QueriableIndexedPoints<2> for ExpandedFrameSlice {
+    fn query_ndpoint(
+        &self,
+        point: &NDPoint<2>,
+    ) -> Vec<usize> {
+        let query = self.convert_to_bounds_query(point);
+        self.query_ndrange(&query.0, query.1)
+    }
+
+    fn query_ndrange(
+        &self,
+        boundary: &NDBoundary<2>,
+        _reference_point: Option<&NDPoint<2>>,
+    ) -> Vec<usize> {
+        // TODO implement passing information on the mz tolerance ...
+        // info!("Querying frame slice with boundary: {:?}", boundary);
+        // let tol = AbsoluteFramePointTolerance {
+        //     tof_index_tolerance: (boundary.widths[0] / 2.) as u32,
+        //     scan_tolerance: (boundary.widths[1] / 2.) as usize,
+        // };
+        const SCAN_NUMBER_TOLERANCE: usize = 10;
+        let scan_left = (boundary.starts[1] as usize).saturating_sub(SCAN_NUMBER_TOLERANCE);
+        let scan_right = (boundary.ends[1] as usize).saturating_add(SCAN_NUMBER_TOLERANCE);
+
+        let (left, right) = binary_search_slice(
+            &self.tof_indices,
+            |a, b| a.cmp(b),
+            boundary.starts[0] as u32,
+            boundary.ends[0] as u32,
+        );
+        let mut out = Vec::new();
+        for i in left..right {
+            let scan_i = self.scan_numbers[i];
+            if scan_i >= scan_left && scan_i <= scan_right {
+                out.push(i);
+            }
+        }
+        out
+    }
+}
+
+impl<'a> QueriableIndexedPoints<2> for FrameSlice<'a> {
+    fn query_ndpoint(
+        &self,
+        point: &NDPoint<2>,
+    ) -> Vec<usize> {
+        let tof_index = point.values[0] as i32;
+        let scan_index = point.values[1] as usize;
+        let rangesets = self.matching_rangeset(
+            tof_index,
+            ScanNumberType::Global(scan_index),
+            &AbsoluteFramePointTolerance {
+                tof_index_tolerance: 2,
+                scan_tolerance: 5,
+            },
+        );
+
+        let mut out = Vec::new();
+        if let Some(rangesets) = rangesets {
+            for range in rangesets.ranges.iter() {
+                for i in range.0..range.1 {
+                    out.push(i);
+                }
+            }
+        }
+        out
+    }
+
+    fn query_ndrange(
+        &self,
+        boundary: &NDBoundary<2>,
+        _reference_point: Option<&NDPoint<2>>,
+    ) -> Vec<usize> {
+        // TODO implement passing information on the mz tolerance ...
+        // info!("Querying frame slice with boundary: {:?}", boundary);
+        // let tol = AbsoluteFramePointTolerance {
+        //     tof_index_tolerance: (boundary.widths[0] / 2.) as u32,
+        //     scan_tolerance: (boundary.widths[1] / 2.) as usize,
+        // };
+        let tol = AbsoluteFramePointTolerance {
+            tof_index_tolerance: (boundary.widths[0] * 2.) as u32,
+            scan_tolerance: (boundary.widths[1] * 10.) as usize,
+        };
+        let rangesets = self.matching_rangeset(
+            boundary.centers[0] as i32,
+            ScanNumberType::Global(boundary.centers[1] as usize),
+            &tol,
+        );
+
+        let mut out = Vec::new();
+        if let Some(rangesets) = rangesets {
+            for range in rangesets.ranges.iter() {
+                for i in range.0..range.1 {
+                    out.push(i);
+                }
+            }
+        }
+        out
+    }
+}
+
+pub trait FramePointTolerance {
+    fn tof_index_range(
+        &self,
+        tof_index: u32,
+    ) -> (u32, u32);
+    fn scan_range(
+        &self,
+        scan_index: ScanNumberType,
+    ) -> (ScanNumberType, ScanNumberType);
+}
+
+struct AbsoluteFramePointTolerance {
+    tof_index_tolerance: u32,
+    scan_tolerance: usize,
+}
+
+impl FramePointTolerance for AbsoluteFramePointTolerance {
+    fn tof_index_range(
+        &self,
+        tof_index: u32,
+    ) -> (u32, u32) {
+        let tof_index_tolerance = self.tof_index_tolerance;
+        (
+            tof_index.saturating_sub(tof_index_tolerance),
+            tof_index.saturating_add(tof_index_tolerance),
+        )
+    }
+
+    fn scan_range(
+        &self,
+        scan_index: ScanNumberType,
+    ) -> (ScanNumberType, ScanNumberType) {
+        match scan_index {
+            ScanNumberType::Global(x) => {
+                let scan_tolerance = self.scan_tolerance;
+                (
+                    ScanNumberType::Global(x.saturating_sub(scan_tolerance)),
+                    ScanNumberType::Global(x + scan_tolerance),
+                )
+            },
+            ScanNumberType::Local(x) => {
+                let scan_tolerance = self.scan_tolerance;
+                (
+                    ScanNumberType::Local(x.saturating_sub(scan_tolerance)),
+                    ScanNumberType::Local(x + scan_tolerance),
+                )
+            },
+        }
+    }
+}
+
+type Range = (usize, usize);
+
+pub struct RangeSet {
+    ranges: Vec<Range>,
+    offset: usize,
+}
+
+impl RangeSet {
+    fn extend(
+        &mut self,
+        other: RangeSet,
+    ) {
+        let new_offset = self.offset.min(other.offset);
+        let vs_self_offset = self.offset - new_offset;
+        let vs_other_offset = other.offset - new_offset;
+
+        for item in self.ranges.iter_mut() {
+            item.0 += vs_self_offset;
+            item.1 += vs_self_offset;
+        }
+
+        for item in other.ranges.iter() {
+            self.ranges
+                .push((item.0 + vs_other_offset, item.1 + vs_other_offset));
+        }
+
+        self.ranges.sort_unstable_by(|a, b| a.0.cmp(&b.0));
+    }
+
+    fn any_overlap(&self) -> bool {
+        let mut last_end = 0;
+
+        for range in self.ranges.iter() {
+            if range.0 < last_end {
+                return true;
+            }
+            last_end = range.1;
+        }
+        false
+    }
+}
diff --git a/src/ms/frames/frame_slice_rt_window.rs b/src/ms/frames/frame_slice_rt_window.rs
new file mode 100644
index 0000000..d123558
--- /dev/null
+++ b/src/ms/frames/frame_slice_rt_window.rs
@@ -0,0 +1,291 @@
+use log::trace;
+use serde::Serialize;
+use timsrust::converters::{
+    ConvertableDomain,
+    Scan2ImConverter,
+    Tof2MzConverter,
+};
+
+use super::{
+    ExpandedFrameSlice,
+    TimsPeak,
+};
+use crate::aggregation::aggregators::ClusterAggregator;
+use crate::space::space_generics::{
+    AsAggregableAtIndex,
+    AsNDPointsAtIndex,
+    DistantAtIndex,
+    IntenseAtIndex,
+    NDPoint,
+    QueriableIndexedPoints,
+};
+
+#[derive(Debug, Serialize)]
+pub struct FrameSliceWindow<'a> {
+    pub window: &'a [ExpandedFrameSlice],
+    pub reference_index: usize,
+    pub cum_lengths: Vec<usize>,
+}
+
+#[derive(Debug, Clone, Copy)]
+pub struct MaybeIntenseRawPeak {
+    pub intensity: u32,
+    pub tof_index: u32,
+    pub scan_index: usize,
+    pub weight_only: bool,
+}
+
+impl FrameSliceWindow<'_> {
+    pub fn new(window: &[ExpandedFrameSlice]) -> FrameSliceWindow<'_> {
+        let cum_lengths = window
+            .iter()
+            .map(|x| x.num_ndpoints())
+            .scan(0, |acc, x| {
+                *acc += x;
+                Some(*acc)
+            })
+            .collect();
+        trace!("Cumulative lengths: {:?}", cum_lengths);
+        FrameSliceWindow {
+            window,
+            reference_index: window.len() / 2,
+            cum_lengths,
+        }
+    }
+    fn get_window_index(
+        &self,
+        index: usize,
+    ) -> (usize, usize) {
+        let mut pos = 0;
+        let mut last_cum_length = 0;
+        for (i, cum_length) in self.cum_lengths.iter().enumerate() {
+            if index < *cum_length {
+                pos = i;
+                break;
+            }
+            last_cum_length = *cum_length;
+        }
+
+        debug_assert!(
+            index < *self.cum_lengths.last().unwrap(),
+            "Index out of bounds, generated index: {}, pos: {}, cum_lengths: {:?}",
+            index,
+            pos,
+            self.cum_lengths
+        );
+        let within_window_index = index - last_cum_length;
+
+        if cfg!(debug_assertions) {
+            assert!(
+                self.window[pos].intensities.len() > within_window_index,
+                "Index out of bounds, generated index: {}, within_window_index: {}, pos: {}, \
+                 cum_lengths: {:?}",
+                index,
+                within_window_index,
+                pos,
+                self.cum_lengths,
+            );
+        }
+
+        (pos, within_window_index)
+    }
+}
+
+impl AsAggregableAtIndex<MaybeIntenseRawPeak> for FrameSliceWindow<'_> {
+    fn get_aggregable_at_index(
+        &self,
+        index: usize,
+    ) -> MaybeIntenseRawPeak {
+        let (pos, within_window_index) = self.get_window_index(index);
+        let tmp = &self.window[pos];
+        let tof = tmp.tof_indices[within_window_index];
+        let int = tmp.intensities[within_window_index];
+        let scan = tmp.scan_numbers[within_window_index];
+
+        MaybeIntenseRawPeak {
+            intensity: int,
+            tof_index: tof,
+            scan_index: scan,
+            weight_only: pos != self.reference_index,
+        }
+    }
+
+    fn num_aggregable(&self) -> usize {
+        *self.cum_lengths.last().unwrap()
+    }
+}
+
+impl IntenseAtIndex for FrameSliceWindow<'_> {
+    fn intensity_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        let (pos, within_window_index) = self.get_window_index(index);
+        if pos == self.reference_index {
+            self.window[self.reference_index].intensity_at_index(within_window_index)
+        } else {
+            0
+        }
+    }
+
+    fn weight_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        let (pos, within_window_index) = self.get_window_index(index);
+        self.window[pos].weight_at_index(within_window_index)
+    }
+
+    fn intensity_index_length(&self) -> usize {
+        *self.cum_lengths.last().unwrap()
+    }
+}
+
+impl<'a> QueriableIndexedPoints<2> for FrameSliceWindow<'a> {
+    fn query_ndpoint(
+        &self,
+        point: &NDPoint<2>,
+    ) -> Vec<usize> {
+        let mut out = Vec::new();
+        let mut last_cum_length = 0;
+        for (_i, (frame, cum_length)) in self.window.iter().zip(self.cum_lengths.iter()).enumerate()
+        {
+            let local_outs = frame.query_ndpoint(point);
+            for ii in local_outs {
+                out.push(ii + last_cum_length);
+            }
+            last_cum_length = *cum_length;
+        }
+        out
+    }
+
+    fn query_ndrange(
+        &self,
+        boundary: &crate::space::space_generics::NDBoundary<2>,
+        reference_point: Option<&NDPoint<2>>,
+    ) -> Vec<usize> {
+        let mut out = Vec::new();
+        let last = *self.cum_lengths.last().unwrap();
+        let mut last_cum_length = 0;
+        for (frame, cum_length) in self.window.iter().zip(self.cum_lengths.iter()) {
+            let local_outs = frame.query_ndrange(boundary, reference_point);
+            for ii in local_outs {
+                let pi = ii + last_cum_length;
+                debug_assert!(pi < last, "Index out of bounds: {}, last: {}", pi, last);
+                out.push(pi);
+            }
+            last_cum_length = *cum_length;
+        }
+
+        out
+    }
+}
+
+impl DistantAtIndex<f32> for FrameSliceWindow<'_> {
+    fn distance_at_indices(
+        &self,
+        index: usize,
+        other: usize,
+    ) -> f32 {
+        let (_pos, _within_window_index) = self.get_window_index(index);
+        let (_pos_other, _within_window_index_other) = self.get_window_index(other);
+        panic!("unimplemented");
+        0.
+    }
+}
+
+impl AsNDPointsAtIndex<2> for FrameSliceWindow<'_> {
+    fn get_ndpoint(
+        &self,
+        index: usize,
+    ) -> NDPoint<2> {
+        let (pos, within_window_index) = self.get_window_index(index);
+        self.window[pos].get_ndpoint(within_window_index)
+    }
+
+    fn num_ndpoints(&self) -> usize {
+        *self.cum_lengths.last().unwrap()
+    }
+}
+
+#[derive(Default, Debug, Clone, Copy)]
+pub struct RawWeightedTimsPeakAggregator {
+    pub cumulative_weighted_cluster_tof: u64,
+    pub cumulative_weighted_cluster_scan: u64,
+    pub cumulative_cluster_weight: u64,
+    pub cumulative_cluster_intensity: u64,
+    pub num_peaks: u64,
+    pub num_intense_peaks: u64,
+}
+
+#[derive(Debug, Clone, Copy)]
+pub struct RawScaleTimsPeak {
+    pub intensity: f64,
+    pub tof_index: f64,
+    pub scan_index: f64,
+    pub npeaks: u64,
+}
+
+impl RawScaleTimsPeak {
+    pub fn to_timspeak(
+        &self,
+        mz_converter: &Tof2MzConverter,
+        ims_converter: &Scan2ImConverter,
+    ) -> TimsPeak {
+        TimsPeak {
+            intensity: self.intensity as u32,
+            mz: mz_converter.convert(self.tof_index),
+            mobility: ims_converter.convert(self.scan_index) as f32,
+            npeaks: self.npeaks as u32,
+        }
+    }
+}
+
+impl ClusterAggregator<MaybeIntenseRawPeak, RawScaleTimsPeak> for RawWeightedTimsPeakAggregator {
+    // Calculate the weight-weighted average of the cluster
+    // for mz and ims. The intensity is kept as is.
+    fn add(
+        &mut self,
+        elem: &MaybeIntenseRawPeak,
+    ) {
+        self.cumulative_cluster_intensity +=
+            if elem.weight_only { 0 } else { elem.intensity } as u64;
+        self.cumulative_cluster_weight += elem.intensity as u64;
+        self.cumulative_weighted_cluster_tof += elem.tof_index as u64 * elem.intensity as u64;
+        self.cumulative_weighted_cluster_scan += elem.scan_index as u64 * elem.intensity as u64;
+        self.num_peaks += 1;
+        if !elem.weight_only {
+            self.num_intense_peaks += 1;
+        };
+    }
+
+    fn aggregate(&self) -> RawScaleTimsPeak {
+        // Use raw
+        RawScaleTimsPeak {
+            intensity: self.cumulative_cluster_intensity as f64,
+            tof_index: self.cumulative_weighted_cluster_tof as f64
+                / self.cumulative_cluster_weight as f64,
+            scan_index: self.cumulative_weighted_cluster_scan as f64
+                / self.cumulative_cluster_weight as f64,
+            npeaks: self.num_intense_peaks,
+        }
+    }
+
+    fn combine(
+        self,
+        other: Self,
+    ) -> Self {
+        Self {
+            cumulative_weighted_cluster_tof: self.cumulative_weighted_cluster_tof
+                + other.cumulative_weighted_cluster_tof,
+            cumulative_weighted_cluster_scan: self.cumulative_weighted_cluster_scan
+                + other.cumulative_weighted_cluster_scan,
+            cumulative_cluster_weight: self.cumulative_cluster_weight
+                + other.cumulative_cluster_weight,
+            cumulative_cluster_intensity: self.cumulative_cluster_intensity
+                + other.cumulative_cluster_intensity,
+            num_peaks: self.num_peaks + other.num_peaks,
+            num_intense_peaks: self.num_intense_peaks + other.num_intense_peaks,
+        }
+    }
+}
diff --git a/src/ms/frames/frames.rs b/src/ms/frames/frames.rs
new file mode 100644
index 0000000..fa6351a
--- /dev/null
+++ b/src/ms/frames/frames.rs
@@ -0,0 +1,124 @@
+use std::sync::Arc;
+
+use serde::Serialize;
+pub use timsrust::{
+    AcquisitionType,
+    MSLevel,
+    QuadrupoleSettings,
+};
+
+use crate::space::space_generics::HasIntensity;
+
+#[derive(Debug, Clone, Copy, Serialize)]
+pub struct TimsPeak {
+    pub intensity: u32,
+    pub mz: f64,
+    pub mobility: f32,
+    pub npeaks: u32,
+}
+
+impl HasIntensity for TimsPeak {
+    fn intensity(&self) -> u64 {
+        self.intensity as u64
+    }
+}
+
+#[derive(Debug, Clone, Copy)]
+pub struct RawTimsPeak {
+    pub intensity: u32,
+    pub tof_index: u32,
+    pub scan_index: usize,
+}
+
+#[derive(Debug, Clone, Copy)]
+pub struct RawTimsPeakReference<'a> {
+    pub intensity: &'a u32,
+    pub tof_index: &'a u32,
+    pub scan_index: &'a usize,
+}
+
+impl HasIntensity for RawTimsPeak {
+    fn intensity(&self) -> u64 {
+        self.intensity as u64
+    }
+}
+
+impl<'a> HasIntensity for RawTimsPeakReference<'a> {
+    fn intensity(&self) -> u64 {
+        *self.intensity as u64
+    }
+}
+
+#[derive(Debug, Clone, Copy)]
+pub enum SortingOrder {
+    None,
+    Mz,
+    Mobility,
+    Intensity,
+}
+
+#[derive(Debug, Clone, Serialize)]
+pub struct DenseFrame {
+    pub raw_peaks: Vec<TimsPeak>,
+    pub index: usize,
+    pub rt: f64,
+    pub window_group_id: u8,
+    pub intensity_correction_factor: f64,
+
+    #[serde(skip_serializing)]
+    pub acquisition_type: AcquisitionType,
+
+    #[serde(skip_serializing)]
+    pub ms_level: MSLevel,
+
+    #[serde(skip_serializing)]
+    pub sorted: Option<SortingOrder>,
+}
+
+#[derive(Debug, Clone, Serialize, PartialEq)]
+pub struct SingleQuadrupoleSettings {
+    pub parent_index: usize,
+    pub scan_start: usize,
+    pub scan_end: usize,
+    pub isolation_mz: f64,
+    pub isolation_max: f64,
+    pub isolation_min: f64,
+    pub isolation_width: f64,
+    pub collision_energy: f64,
+}
+
+impl SingleQuadrupoleSettings {
+    pub fn from_quad_settings(
+        quad_settings: Arc<QuadrupoleSettings>,
+        index: usize,
+    ) -> Self {
+        let isolation_mz = quad_settings.isolation_mz[index];
+        let isolation_width = quad_settings.isolation_width[index];
+        let isolation_max = isolation_mz + (isolation_width / 2.);
+        let isolation_min = isolation_mz - (isolation_width / 2.);
+        let collision_energy = quad_settings.collision_energy[index];
+
+        Self {
+            parent_index: quad_settings.index,
+            scan_start: quad_settings.scan_starts[index],
+            scan_end: quad_settings.scan_ends[index],
+            isolation_mz,
+            isolation_max,
+            isolation_min,
+            isolation_width,
+            collision_energy,
+        }
+    }
+}
+
+impl PartialOrd for SingleQuadrupoleSettings {
+    fn partial_cmp(
+        &self,
+        other: &Self,
+    ) -> Option<std::cmp::Ordering> {
+        match self.parent_index.partial_cmp(&other.parent_index) {
+            Some(std::cmp::Ordering::Equal) => self.scan_start.partial_cmp(&other.scan_start),
+            x => x,
+        }
+    }
+}
diff --git a/src/ms/frames/mod.rs b/src/ms/frames/mod.rs
new file mode 100644
index 0000000..0f36625
--- /dev/null
+++ b/src/ms/frames/mod.rs
@@ -0,0 +1,17 @@
+pub mod dense_frame_window;
+pub mod frame_slice;
+pub mod frame_slice_rt_window;
+pub mod frames;
+pub use dense_frame_window::{
+    Converters,
+    DenseFrameWindow,
+};
+pub use frame_slice::{
+    ExpandedFrameSlice,
+    FrameSlice,
+};
+pub use frames::{
+    DenseFrame,
+    SingleQuadrupoleSettings,
+    TimsPeak,
+};
diff --git a/src/ms/mod.rs b/src/ms/mod.rs
index f5bc367..5f89a78 100644
--- a/src/ms/mod.rs
+++ b/src/ms/mod.rs
@@ -1,4 +1,2 @@
 pub mod frames;
-pub mod ms;
 pub mod sorting;
-pub mod tdf;
diff --git a/src/ms/ms.rs b/src/ms/ms.rs
deleted file mode 100644
index 8b13789..0000000
--- a/src/ms/ms.rs
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/src/ms/sorting.rs b/src/ms/sorting.rs
index b0c62d1..6d436a9 100644
--- a/src/ms/sorting.rs
+++ b/src/ms/sorting.rs
@@ -2,7 +2,10 @@
 // MIT licensed
 trait SortExt<T> {
     fn argsort(&self) -> Vec<usize>;
-    fn sort_by_indices(&mut self, indices: &mut Vec<usize>);
+    fn sort_by_indices(
+        &mut self,
+        indices: &mut Vec<usize>,
+    );
 }
 
 impl<T: Ord + Clone> SortExt<T> for Vec<T> {
@@ -12,7 +15,10 @@ impl<T: Ord + Clone> SortExt<T> for Vec<T> {
         indices
     }
 
-    fn sort_by_indices(&mut self, indices: &mut Vec<usize>) {
+    fn sort_by_indices(
+        &mut self,
+        indices: &mut Vec<usize>,
+    ) {
         for idx in 0..self.len() {
             if indices[idx] != usize::MAX {
                 let mut current_idx = idx;
diff --git a/src/ms/tdf.rs b/src/ms/tdf.rs
deleted file mode 100644
index a420aca..0000000
--- a/src/ms/tdf.rs
+++ /dev/null
@@ -1,507 +0,0 @@
-use log::{debug, error, info, trace};
-use rusqlite::{Connection, Result};
-use std::path::Path;
-use timsrust::{ConvertableIndex, Frame};
-
-use crate::ms::frames::{DenseFrame, DenseFrameWindow, FrameWindow};
-
-// Diaframemsmsinfo = vec of frame_id -> windowgroup_id
-// diaframemsmswindows = vec[(windowgroup_id, scanstart, scanend, iso_mz, iso_with, nce)]
-
-#[derive(Debug, Clone)]
-pub struct ScanRange {
-    pub scan_start: usize,
-    pub scan_end: usize,
-    pub iso_mz: f32,
-    pub iso_width: f32,
-    pub nce: f32,
-    pub ims_start: f32,
-    pub ims_end: f32,
-    pub iso_low: f32,
-    pub iso_high: f32,
-}
-
-impl ScanRange {
-    pub fn new(
-        scan_start: usize,
-        scan_end: usize,
-        iso_mz: f32,
-        iso_width: f32,
-        nce: f32,
-        scan_converter: &timsrust::Scan2ImConverter,
-    ) -> Self {
-        // Note that here I swap the start and end,
-        // because lower scan numbers are actually
-        // higher 1/k0 values. ... i think...
-        let ims_end = scan_converter.convert(scan_start as u32);
-        let ims_start = scan_converter.convert(scan_end as u32);
-
-        debug_assert!(ims_start < ims_end);
-        let iso_low = iso_mz - iso_width / 2.0;
-        let iso_high = iso_mz + iso_width / 2.0;
-
-        Self {
-            scan_start,
-            scan_end,
-            iso_mz,
-            iso_width,
-            nce,
-            ims_start: ims_start as f32,
-            ims_end: ims_end as f32,
-            iso_low,
-            iso_high,
-        }
-    }
-}
-
-#[derive(Debug, Clone)]
-pub struct DIAWindowGroup {
-    pub id: usize,
-    pub scan_ranges: Vec<ScanRange>,
-}
-
-#[derive(Debug, Clone)]
-pub struct DIAFrameInfo {
-    pub groups: Vec<Option<DIAWindowGroup>>,
-    /// Frame Groups is a vec of length equal to the number of frames.
-    /// Each element is an Option<usize> that is the index of the group
-    /// that the frame belongs to.
-    pub frame_groups: Vec<Option<usize>>,
-    pub retention_times: Vec<Option<f32>>,
-}
-
-// TODO rename or split this ... since it is becoming more
-// of a splitter than a frame info reader.
-// Maybe a builder -> splitter pattern?
-impl DIAFrameInfo {
-    pub fn get_group(&self, frame_id: usize) -> Option<&DIAWindowGroup> {
-        let group_id = self.frame_groups[frame_id];
-
-        match group_id {
-            None => None,
-            Some(group_id) => self.groups[group_id].as_ref(),
-        }
-    }
-
-    fn rts_from_tdf_connection(conn: &Connection) -> Result<Vec<Option<f32>>> {
-        // To calculate cycle time ->
-        // DiaFrameMsMsInfo -> Get the frames that match a specific id (one for each ...)
-        // Frames -> SELECT id, time FROM Frames -> make a Vec<Option<f32>>, map the former
-        // framer id list (no value should be None).
-        // Scan diff the new vec!
-        let mut stmt = conn.prepare("SELECT Id, Time FROM Frames")?;
-        let mut times = Vec::new();
-        let res = stmt.query_map([], |row| {
-            let id: usize = row.get(0)?;
-            let time: f32 = row.get(1)?;
-            Ok((id, time))
-        });
-
-        match res {
-            Ok(x) => {
-                for y in x {
-                    let (id, time) = y.unwrap();
-                    times.resize(id + 1, None);
-                    times[id] = Some(time);
-                }
-            }
-            Err(e) => {
-                error!("Error reading Frames: {}", e);
-            }
-        }
-
-        Ok(times)
-    }
-
-    pub fn calculate_cycle_time(&self) -> f32 {
-        let mut group_cycle_times = Vec::new();
-
-        for (i, group) in self.groups.iter().enumerate() {
-            if group.is_none() {
-                continue;
-            }
-
-            let mapping_frames: Vec<usize> = self
-                .frame_groups
-                .iter()
-                .enumerate()
-                .filter(|(_, group_id)| {
-                    if group_id.is_none() {
-                        return false;
-                    }
-                    let group_id = group_id.unwrap();
-                    group_id == i
-                })
-                .map(|(frame_id, _group_id)| frame_id)
-                .collect();
-
-            let local_times = mapping_frames
-                .iter()
-                .map(|frame_id| self.retention_times[*frame_id].unwrap())
-                .scan(0.0, |acc, x| {
-                    let out = x - *acc;
-                    *acc = x;
-                    Some(out)
-                })
-                .collect::<Vec<_>>();
-
-            let cycle_time = local_times.iter().sum::<f32>() / local_times.len() as f32;
-            group_cycle_times.push(cycle_time);
-        }
-
-        debug!("Group cycle times: {:?}", group_cycle_times);
-        let avg_cycle_time = group_cycle_times.iter().sum::<f32>() / group_cycle_times.len() as f32;
-        avg_cycle_time
-    }
-
-    pub fn split_frame(&self, frame: Frame) -> Result<Vec<FrameWindow>, &'static str> {
-        let group = self.get_group(frame.index);
-        if group.is_none() {
-            return Err("Frame not in DIA group");
-        }
-        let group = group.unwrap();
-
-        let mut out_frames = Vec::new();
-        for (i, scan_range) in group.scan_ranges.iter().enumerate() {
-            scan_range.scan_start;
-            scan_range.scan_end;
-
-            let scan_offsets_use =
-                &frame.scan_offsets[scan_range.scan_start..(scan_range.scan_end - 1)];
-            let scan_start = scan_offsets_use[0];
-            let mz_indptr_start = scan_offsets_use[0];
-            let mz_indptr_end = *scan_offsets_use.last().unwrap();
-
-            let tof_indices_keep = frame.tof_indices[mz_indptr_start..mz_indptr_end].to_vec();
-            let intensities_keep = frame.intensities[mz_indptr_start..mz_indptr_end].to_vec();
-
-            let frame_window = FrameWindow {
-                scan_offsets: scan_offsets_use
-                    .iter()
-                    .map(|x| (x - scan_start) as u64)
-                    .collect::<Vec<_>>(),
-                tof_indices: tof_indices_keep,
-                intensities: intensities_keep,
-                index: frame.index,
-                rt: frame.rt,
-                frame_type: frame.frame_type,
-                scan_start: scan_range.scan_start,
-                group_id: group.id,
-                quad_group_id: i,
-            };
-
-            out_frames.push(frame_window);
-        }
-
-        Ok(out_frames)
-    }
-
-    pub fn split_dense_frame(&self, mut denseframe: DenseFrame) -> Result<Vec<DenseFrameWindow>> {
-        let group = self.get_group(denseframe.index);
-        // if group.is_none() {
-        //     return Err("Frame not in DIA group".into());
-        // }
-        let group = group.unwrap();
-
-        // Steps
-        // 1. Sort by ims
-        // 2. Get ims bounds
-        // 3. Binary search for start and end
-        denseframe.sort_by_mobility();
-        let mut frames = Vec::new();
-        let imss = denseframe
-            .raw_peaks
-            .iter()
-            .map(|peak| peak.mobility)
-            .collect::<Vec<_>>();
-        for (i, scan_range) in group.scan_ranges.iter().enumerate() {
-            let start = imss.binary_search_by(|v| {
-                v.partial_cmp(&scan_range.ims_start)
-                    .expect("Couldn't compare values")
-            });
-
-            let start = match start {
-                Ok(x) => x,
-                Err(x) => x,
-            };
-
-            let end = imss.binary_search_by(|v| {
-                v.partial_cmp(&scan_range.ims_end)
-                    .expect("Couldn't compare values")
-            });
-
-            // i might need to add 1 here to make the range [closed, open)
-            let end = match end {
-                Ok(x) => x,
-                Err(x) => x,
-            };
-
-            let frame = DenseFrame {
-                raw_peaks: denseframe.raw_peaks[start..end].to_vec(),
-                index: denseframe.index,
-                rt: denseframe.rt,
-                frame_type: denseframe.frame_type,
-                sorted: denseframe.sorted,
-            };
-
-            let frame_window = DenseFrameWindow {
-                frame,
-                ims_start: scan_range.ims_start,
-                ims_end: scan_range.ims_end,
-                mz_start: scan_range.iso_low.into(),
-                mz_end: scan_range.iso_high.into(),
-                group_id: group.id,
-                quad_group_id: i,
-            };
-            frames.push(frame_window);
-        }
-
-        Ok(frames)
-    }
-
-    /// Returns a vector of length equal to the number of groups.
-    /// Each element is a vector of frames that belong to that group.
-    fn bundle_by_group(&self, frames: Vec<DenseFrame>) -> Vec<Vec<DenseFrame>> {
-        let mut frame_groups = Vec::new();
-        for frame in frames {
-            let group = self.get_group(frame.index);
-            if group.is_none() {
-                continue;
-            }
-            let group = group.unwrap();
-            let group_id = group.id;
-            if frame_groups.len() <= group_id {
-                frame_groups.resize(group_id + 1, Vec::new());
-            }
-            frame_groups[group_id].push(frame);
-        }
-        frame_groups
-    }
-
-    pub fn split_dense_frames(&self, frames: Vec<DenseFrame>) -> Vec<Vec<Vec<DenseFrameWindow>>> {
-        info!("Splitting {} frames", frames.len());
-
-        // Returns a vector of length equal to the number of groups.
-        // Each element is a vector with length equal to the number of quad groups within
-        // that group.
-        // Each element of that vector is a vector of frames that belong to that quad group.
-        let max_num_quad_groups = self
-            .groups
-            .iter()
-            .map(|group| {
-                if group.is_none() {
-                    0
-                } else {
-                    group.as_ref().unwrap().scan_ranges.len()
-                }
-            })
-            .max()
-            .unwrap();
-
-        let num_groups = self.groups.len();
-
-        let mut out = Vec::new();
-        for _ in 0..num_groups {
-            let mut group_vec = Vec::new();
-            for _ in 0..max_num_quad_groups {
-                group_vec.push(Vec::new());
-            }
-            out.push(group_vec);
-        }
-
-        let bundled_split_frames = self.bundle_by_group(frames);
-        for (i, frame_bundle) in bundled_split_frames.into_iter().enumerate() {
-            info!("Processing group {}", i);
-            for frame in frame_bundle {
-                let frame_windows = self.split_dense_frame(frame);
-                match frame_windows {
-                    Ok(frame_windows) => {
-                        for frame_window in frame_windows {
-                            out[i][frame_window.quad_group_id].push(frame_window);
-                        }
-                    }
-                    Err(e) => {
-                        error!("Error splitting frame: {}", e);
-                    }
-                }
-            }
-        }
-
-        let counts = out
-            .iter()
-            .map(|group| {
-                group
-                    .iter()
-                    .map(|quad_group| quad_group.len())
-                    .collect::<Vec<_>>()
-            })
-            .collect::<Vec<_>>();
-
-        trace!("Counts: {:?}", counts);
-
-        for (i, group) in counts.iter().enumerate() {
-            trace!("Group {}", i);
-            for (j, quad_group) in group.iter().enumerate() {
-                trace!("  Quad group {}: {}", j, quad_group);
-            }
-        }
-
-        out
-    }
-
-    pub fn get_quad_windows(
-        &self,
-        scan_group_id: usize,
-        quad_group_id: usize,
-    ) -> Option<&ScanRange> {
-        let group = self.groups[scan_group_id].as_ref()?;
-        let quad_group = group.scan_ranges.get(quad_group_id)?;
-        Some(quad_group)
-    }
-}
-
-// TODO implement splitting frames into dia group+quad groups.
-// [usize, math::round::floor(quad_mz_center)]
-
-// Reference for the tables:
-
-// CREATE TABLE DiaFrameMsMsInfo (
-//     Frame INTEGER PRIMARY KEY,
-//     WindowGroup INTEGER NOT NULL,
-//     FOREIGN KEY (Frame) REFERENCES Frames (Id),
-//     FOREIGN KEY (WindowGroup) REFERENCES DiaFrameMsMsWindowGroups (Id)
-//  )
-
-// CREATE TABLE DiaFrameMsMsWindows (
-//     WindowGroup INTEGER NOT NULL,
-//     ScanNumBegin INTEGER NOT NULL,
-//     ScanNumEnd INTEGER NOT NULL,
-//     IsolationMz REAL NOT NULL,
-//     IsolationWidth REAL NOT NULL,
-//     CollisionEnergy REAL NOT NULL,
-//     PRIMARY KEY(WindowGroup, ScanNumBegin),
-//     FOREIGN KEY (WindowGroup) REFERENCES DiaFrameMsMsWindowGroups (Id)
-//  ) WITHOUT ROWID
-
-// TODO refactor this to make it a constructor method ...
-pub fn read_dia_frame_info(dotd_file: String) -> Result<DIAFrameInfo> {
-    let reader = timsrust::FileReader::new(dotd_file.clone()).unwrap();
-    let scan_converter = reader.get_scan_converter().unwrap();
-
-    // Find an 'analysis.tdf' file inside the dotd file (directory).
-    let tdf_path = Path::new(dotd_file.as_str()).join("analysis.tdf");
-
-    info!("tdf_path: {:?}", tdf_path);
-    let conn = Connection::open(tdf_path)?;
-
-    let mut stmt_ids = conn.prepare("SELECT Frame, WindowGroup FROM DiaFrameMsMsInfo")?;
-
-    let mut ids_vec: Vec<(usize, usize)> = Vec::new();
-    let res = stmt_ids.query_map([], |row| {
-        let id: usize = row.get(0)?;
-        let group: usize = row.get(1)?;
-        Ok((id, group))
-    });
-
-    match res {
-        Ok(x) => {
-            for id_group in x {
-                ids_vec.push(id_group.unwrap());
-            }
-        }
-        Err(e) => {
-            error!("Error reading DiaFrameMsMsInfo: {}", e);
-        }
-    }
-
-    let max_id = ids_vec.iter().map(|(id, _)| id).max().unwrap();
-    let mut ids_map_vec = vec![None; max_id + 1];
-    for (id, group) in ids_vec {
-        ids_map_vec[id] = Some(group);
-    }
-
-    let mut stmt_groups = conn.prepare(
-        "SELECT
-            WindowGroup,
-            ScanNumBegin,
-            ScanNumEnd,
-            IsolationMz,
-            IsolationWidth,
-            CollisionEnergy
-        FROM DiaFrameMsMsWindows",
-    )?;
-    let mut groups_vec: Vec<(usize, usize, usize, f32, f32, f32)> = Vec::new();
-    let res = stmt_groups.query_map([], |row| {
-        Ok((
-            row.get(0)?,
-            row.get(1)?,
-            row.get(2)?,
-            row.get(3)?,
-            row.get(4)?,
-            row.get(5)?,
-        ))
-    });
-
-    match res {
-        Ok(x) => {
-            for group in x {
-                groups_vec.push(group.unwrap());
-            }
-        }
-        Err(e) => {
-            error!("Error reading DiaFrameMsMsWindows: {}", e);
-        }
-    }
-
-    let max_window_id = groups_vec
-        .iter()
-        .map(|(id, _, _, _, _, _)| *id)
-        .max()
-        .unwrap();
-
-    let mut groups_map_vec: Vec<Option<Vec<ScanRange>>> =
-        (0..(max_window_id + 1)).map(|_| None).collect();
-
-    for (group, scan_start, scan_end, iso_mz, iso_width, nce) in groups_vec {
-        let scan_range = ScanRange::new(
-            scan_start,
-            scan_end,
-            iso_mz,
-            iso_width,
-            nce,
-            &scan_converter,
-        );
-
-        if groups_map_vec[group].is_none() {
-            groups_map_vec[group] = Some(Vec::new());
-        }
-
-        match &mut groups_map_vec[group] {
-            None => continue,
-            Some(scan_ranges) => {
-                scan_ranges.push(scan_range);
-            }
-        }
-    }
-
-    let mut groups_vec_o = (0..(max_window_id + 1)).map(|_| None).collect::<Vec<_>>();
-    for (i, scan_ranges) in groups_map_vec.into_iter().enumerate() {
-        let scan_ranges = match scan_ranges {
-            None => continue,
-            Some(scan_ranges) => scan_ranges,
-        };
-        if scan_ranges.is_empty() {
-            continue;
-        } else {
-            groups_vec_o[i] = Some(DIAWindowGroup { id: i, scan_ranges });
-        }
-    }
-
-    let frame_info = DIAFrameInfo {
-        groups: groups_vec_o,
-        frame_groups: ids_map_vec,
-        retention_times: DIAFrameInfo::rts_from_tdf_connection(&conn)?,
-    };
-
-    Ok(frame_info)
-}
diff --git a/src/scoring.rs b/src/scoring.rs
index 3312ec2..ebbc807 100644
--- a/src/scoring.rs
+++ b/src/scoring.rs
@@ -1,29 +1,39 @@
+use std::collections::HashMap;
+use std::error::Error;
+use std::fs;
+use std::path::PathBuf;
 use std::str::FromStr;
 
-use crate::aggregation::tracing::PseudoSpectrum;
 use indicatif::ParallelProgressIterator;
 use log::warn;
-
-use sage_core::database::Parameters as SageDatabaseParameters;
-use sage_core::database::{EnzymeBuilder, IndexedDatabase};
+use rayon::prelude::*;
+use sage_core::database::{
+    EnzymeBuilder,
+    IndexedDatabase,
+    Parameters as SageDatabaseParameters,
+};
 use sage_core::ion_series::Kind;
 use sage_core::mass::Tolerance;
 use sage_core::ml::linear_discriminant::score_psms;
 use sage_core::modification::ModificationSpecificity;
-use sage_core::scoring::Feature;
-use sage_core::scoring::Scorer;
-use sage_core::spectrum::{Precursor, RawSpectrum, Representation, SpectrumProcessor};
+use sage_core::scoring::{
+    Feature,
+    Scorer,
+};
+use sage_core::spectrum::{
+    Precursor,
+    RawSpectrum,
+    Representation,
+    SpectrumProcessor,
+};
 use serde::ser::SerializeStruct;
-use serde::Deserialize;
-use serde::Serialize;
-use serde::Serializer;
-
-use std::collections::HashMap;
-use std::error::Error;
-use std::fs;
-use std::path::PathBuf;
+use serde::{
+    Deserialize,
+    Serialize,
+    Serializer,
+};
 
-use rayon::prelude::*;
+use crate::aggregation::pseudospectra::PseudoSpectrum;
 
 const PCT_BP_KEEP: f64 = 0.001;
 
@@ -68,7 +78,10 @@ struct SerializableFeature<'a> {
 }
 
 impl<'a> SerializableFeature<'a> {
-    fn from_feature(feat: &'a sage_core::scoring::Feature, db: &IndexedDatabase) -> Self {
+    fn from_feature(
+        feat: &'a sage_core::scoring::Feature,
+        db: &IndexedDatabase,
+    ) -> Self {
         let peptide = db[feat.peptide_idx].to_string().clone();
         SerializableFeature {
             peptide,
@@ -78,7 +91,10 @@ impl<'a> SerializableFeature<'a> {
 }
 
 impl Serialize for SerializableFeature<'_> {
-    fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
+    fn serialize<S>(
+        &self,
+        serializer: S,
+    ) -> Result<S::Ok, S::Error>
     where
         S: Serializer,
     {
@@ -124,7 +140,10 @@ impl Serialize for SerializableFeature<'_> {
 
 //
 
-fn pseudospectrum_to_spec(pseudo: PseudoSpectrum, scan_id: String) -> RawSpectrum {
+fn pseudospectrum_to_spec(
+    pseudo: PseudoSpectrum,
+    scan_id: String,
+) -> RawSpectrum {
     let file_id = 0;
     let ms_level = 2;
 
@@ -175,7 +194,7 @@ pub fn score_pseudospectra(
     config: SageSearchConfig,
     out_path_features: Option<PathBuf>,
     num_report_psms: usize,
-) -> Result<Vec<Feature>, Box<dyn Error>> {
+) -> Result<Vec<Feature>, std::io::Error> {
     // 1. Buid raw spectra from the pseudospectra
 
     let take_top_n = 250;
@@ -237,8 +256,18 @@ pub fn score_pseudospectra(
         config.fasta_path.clone(),
         parameters.decoy_tag.clone(),
         parameters.generate_decoys,
-    )
-    .expect("Error reading fasta");
+    );
+
+    let sage_fasta = match sage_fasta {
+        Ok(x) => x,
+        Err(e) => {
+            log::error!("Error reading fasta: {:?}", e);
+            return Err(std::io::Error::new(
+                std::io::ErrorKind::Other,
+                e.to_string(),
+            ));
+        },
+    };
 
     let db = parameters.clone().build(sage_fasta);
 
@@ -270,7 +299,7 @@ pub fn score_pseudospectra(
 
     let progbar = indicatif::ProgressBar::new(spectra.len() as u64);
 
-    log::info!("Scoring pseudospectra ...");
+    log::info!("Scoring {} pseudospectra ...", spectra.len());
     let mut features = spectra
         .par_iter()
         .progress_with(progbar)
@@ -301,9 +330,12 @@ pub fn score_pseudospectra(
 
     // Serialize to a csv for debugging
     match out_path_features {
-        None => {}
+        None => {},
         Some(out_path_features) => {
-            warn!("Writing features to features.csv ... and sebastian should delete this b4 publishing...");
+            warn!(
+                "Writing features to features.csv ... and sebastian should delete this b4 \
+                 publishing..."
+            );
             let mut wtr = csv::Writer::from_path(out_path_features)?;
             for feat in &features {
                 let s_feat = SerializableFeature::from_feature(feat, &db);
@@ -311,7 +343,7 @@ pub fn score_pseudospectra(
             }
             wtr.flush()?;
             drop(wtr);
-        }
+        },
     }
 
     println!("Number of psms at 0.01 FDR: {}", num_q_001);
diff --git a/src/space/kdtree.rs b/src/space/kdtree.rs
index 2ec13ff..02fa3dc 100644
--- a/src/space/kdtree.rs
+++ b/src/space/kdtree.rs
@@ -1,14 +1,17 @@
-use crate::mod_types::Float;
-use crate::space::space_generics::{IndexedPoints, NDBoundary, NDPoint};
 use log::warn;
 
-const EPSILON: Float = Float::EPSILON;
+use crate::space::space_generics::{
+    NDBoundary,
+    NDPoint,
+    QueriableIndexedPoints,
+};
+
 // Implements a kdtree with several minor differences.
 #[derive(Debug, Clone)]
 pub struct RadiusKDTree<'a, T, const DIMENSIONALITY: usize> {
     boundary: NDBoundary<DIMENSIONALITY>,
     capacity: usize,
-    radius: Float,
+    radius: f32,
     points: Vec<(NDPoint<DIMENSIONALITY>, &'a T)>,
     high_split: Option<Box<RadiusKDTree<'a, T, DIMENSIONALITY>>>,
     low_split: Option<Box<RadiusKDTree<'a, T, DIMENSIONALITY>>>,
@@ -17,7 +20,7 @@ pub struct RadiusKDTree<'a, T, const DIMENSIONALITY: usize> {
     // Since ranges are [closed, open) by convention,
     // I could think of the splits to be [low_bounds, division_value)
     // and [division_value, high_bounds).
-    division_value: Option<Float>,
+    division_value: Option<f32>,
     count: usize,
     level: usize,
 }
@@ -28,7 +31,7 @@ impl<'a, const D: usize, T> RadiusKDTree<'a, T, D> {
     pub fn new_empty(
         boundary: NDBoundary<D>,
         capacity: usize,
-        radius: Float,
+        radius: f32,
     ) -> RadiusKDTree<'a, T, D> {
         RadiusKDTree {
             boundary,
@@ -44,7 +47,11 @@ impl<'a, const D: usize, T> RadiusKDTree<'a, T, D> {
         }
     }
 
-    pub fn insert_ndpoint(&mut self, point: NDPoint<D>, value: &'a T) {
+    pub fn insert_ndpoint(
+        &mut self,
+        point: NDPoint<D>,
+        value: &'a T,
+    ) {
         if cfg!(debug_assertions) && !self.boundary.contains(&point) {
             panic!(
                 "Point {:?} is not contained in the boundary of this tree ({:?})",
@@ -88,7 +95,7 @@ impl<'a, const D: usize, T> RadiusKDTree<'a, T, D> {
         let _low_bounds = self.boundary.starts;
         let _high_bounds = self.boundary.ends;
         let mut longest_axis: Option<usize> = None;
-        let mut longest_axis_length: Option<Float> = None;
+        let mut longest_axis_length: Option<f32> = None;
 
         for i in 0..D {
             let axis_length = self.boundary.widths[i];
@@ -103,7 +110,7 @@ impl<'a, const D: usize, T> RadiusKDTree<'a, T, D> {
                 let mut keep = false;
                 for point in self.points.iter() {
                     let diff = (point.0.values[i] - axis_val_first).abs();
-                    if diff > EPSILON {
+                    if diff > f32::EPSILON {
                         keep = true;
                         break;
                     }
@@ -177,20 +184,23 @@ impl<'a, const D: usize, T> RadiusKDTree<'a, T, D> {
         Ok(())
     }
 
-    pub fn query(&'a self, point: &NDPoint<D>) -> Vec<&'a T> {
+    pub fn query(
+        &'a self,
+        point: &NDPoint<D>,
+    ) -> Vec<&'a T> {
         let candidates: Vec<(&NDPoint<D>, &T)> = self.query_range(&NDBoundary::new(
             point
                 .values
                 .iter()
                 .map(|x| x - self.radius)
-                .collect::<Vec<Float>>()
+                .collect::<Vec<f32>>()
                 .try_into()
                 .unwrap(),
             point
                 .values
                 .iter()
                 .map(|x| x + self.radius)
-                .collect::<Vec<Float>>()
+                .collect::<Vec<f32>>()
                 .try_into()
                 .unwrap(),
         ));
@@ -199,7 +209,10 @@ impl<'a, const D: usize, T> RadiusKDTree<'a, T, D> {
         out
     }
 
-    pub fn query_range(&'a self, boundary: &NDBoundary<D>) -> Vec<(&NDPoint<D>, &'a T)> {
+    pub fn query_range(
+        &'a self,
+        boundary: &NDBoundary<D>,
+    ) -> Vec<(&NDPoint<D>, &'a T)> {
         let mut result = Vec::new();
         if !self.boundary.intersects(boundary) {
             return result;
@@ -243,7 +256,7 @@ impl<'a, const D: usize, T> RadiusKDTree<'a, T, D> {
                         .iter()
                         .zip(point.values.iter())
                         .map(|(x, y)| (x - y).abs())
-                        .sum::<Float>();
+                        .sum::<f32>();
                 dist < self.radius
             })
             .map(|x| x.1)
@@ -252,21 +265,25 @@ impl<'a, const D: usize, T> RadiusKDTree<'a, T, D> {
     }
 }
 
-impl<'a, T, const D: usize> IndexedPoints<'a, D, T> for RadiusKDTree<'a, T, D> {
-    fn query_ndpoint(&'a self, point: &NDPoint<D>) -> Vec<&'a T> {
-        self.query(point)
+impl<'a, const D: usize> QueriableIndexedPoints<D> for RadiusKDTree<'a, usize, D> {
+    fn query_ndpoint(
+        &self,
+        point: &NDPoint<D>,
+    ) -> Vec<usize> {
+        self.query(point).into_iter().copied().collect()
     }
 
     fn query_ndrange(
-        &'a self,
+        &self,
         boundary: &NDBoundary<D>,
         reference_point: Option<&NDPoint<D>>,
-    ) -> Vec<&'a T> {
+    ) -> Vec<usize> {
         let candidates = self.query_range(boundary);
         if let Some(point) = reference_point {
-            self.refine_query(point, candidates)
+            let tmp = self.refine_query(point, candidates);
+            tmp.into_iter().copied().collect()
         } else {
-            candidates.iter().map(|x| x.1).collect()
+            candidates.iter().map(|x| *x.1).collect()
         }
     }
 }
diff --git a/src/space/quad.rs b/src/space/quad.rs
index 89d097e..647cbc7 100644
--- a/src/space/quad.rs
+++ b/src/space/quad.rs
@@ -1,14 +1,18 @@
-use crate::mod_types::Float;
-
-use crate::space::space_generics::{IndexedPoints, NDBoundary, NDPoint};
 use core::panic;
+
 use log::trace;
 
+use crate::space::space_generics::{
+    NDBoundary,
+    NDPoint,
+    QueriableIndexedPoints,
+};
+
 #[derive(Debug, Clone)]
 pub struct RadiusQuadTree<'a, T> {
     boundary: NDBoundary<2>,
     capacity: usize,
-    radius: Float,
+    radius: f32,
     points: Vec<(NDPoint<2>, &'a T)>,
     northeast: Option<Box<RadiusQuadTree<'a, T>>>,
     northwest: Option<Box<RadiusQuadTree<'a, T>>>,
@@ -23,7 +27,7 @@ impl<'a, T> RadiusQuadTree<'a, T> {
     pub fn new_empty(
         boundary: NDBoundary<2>,
         capacity: usize,
-        radius: Float,
+        radius: f32,
     ) -> RadiusQuadTree<'a, T> {
         RadiusQuadTree {
             boundary,
@@ -40,11 +44,19 @@ impl<'a, T> RadiusQuadTree<'a, T> {
         }
     }
 
-    pub fn insert_ndpoint(&mut self, point: NDPoint<2>, data: &'a T) {
+    pub fn insert_ndpoint(
+        &mut self,
+        point: NDPoint<2>,
+        data: &'a T,
+    ) {
         self.insert(point, data);
     }
 
-    pub fn insert(&mut self, point: NDPoint<2>, data: &'a T) {
+    pub fn insert(
+        &mut self,
+        point: NDPoint<2>,
+        data: &'a T,
+    ) {
         if cfg!(debug_assertions) && !self.boundary.contains(&point) {
             println!(
                 "(Error??) Point outside of boundary {:?} {:?}",
@@ -75,7 +87,7 @@ impl<'a, T> RadiusQuadTree<'a, T> {
 
             // This means any sub-division will be smaller than the radius
             let query_contained = radius_squared > distance_squared;
-            if (self.points.len() < self.capacity) || query_contained  {
+            if (self.points.len() < self.capacity) || query_contained {
                 self.points.push((point, data));
             } else {
                 self.subdivide();
@@ -178,7 +190,10 @@ impl<'a, T> RadiusQuadTree<'a, T> {
         self.points.clear();
     }
 
-    pub fn query(&'a self, point: &NDPoint<2>) -> Vec<(&'a NDPoint<2>, &'a T)> {
+    pub fn query(
+        &'a self,
+        point: &NDPoint<2>,
+    ) -> Vec<(&'a NDPoint<2>, &'a T)> {
         let mut result = Vec::new();
         let range = NDBoundary::new(
             [point.values[0] - self.radius, point.values[1] - self.radius],
@@ -210,7 +225,11 @@ impl<'a, T> RadiusQuadTree<'a, T> {
     }
 
     // This function is used a lot so any optimization here will have a big impact.
-    pub fn query_range(&'a self, range: &NDBoundary<2>, result: &mut Vec<(&'a NDPoint<2>, &'a T)>) {
+    pub fn query_range(
+        &'a self,
+        range: &NDBoundary<2>,
+        result: &mut Vec<(&'a NDPoint<2>, &'a T)>,
+    ) {
         if !self.boundary.intersects(range) || self.count == 0 {
             return;
         }
@@ -242,19 +261,22 @@ impl<'a, T> RadiusQuadTree<'a, T> {
 // TODO: rename count_neigh_monotonocally_increasing
 // because it can do more than just count neighbors....
 
-impl<'a, T> IndexedPoints<'a, 2, T> for RadiusQuadTree<'a, T> {
-    fn query_ndpoint(&'a self, point: &NDPoint<2>) -> Vec<&'a T> {
+impl<'a> QueriableIndexedPoints<2> for RadiusQuadTree<'a, usize> {
+    fn query_ndpoint(
+        &self,
+        point: &NDPoint<2>,
+    ) -> Vec<usize> {
         self.query(point)
             .into_iter()
-            .map(|x| x.1)
+            .map(|x| *x.1)
             .collect::<Vec<_>>()
     }
 
     fn query_ndrange(
-        &'a self,
+        &self,
         boundary: &NDBoundary<2>,
         reference_point: Option<&NDPoint<2>>,
-    ) -> Vec<&'a T> {
+    ) -> Vec<usize> {
         let mut result = Vec::new();
         self.query_range(boundary, &mut result);
 
@@ -263,7 +285,7 @@ impl<'a, T> IndexedPoints<'a, 2, T> for RadiusQuadTree<'a, T> {
             None => result,
         }
         .into_iter()
-        .map(|x| x.1)
+        .map(|x| *x.1)
         .collect::<Vec<_>>()
     }
 }
diff --git a/src/space/space_generics.rs b/src/space/space_generics.rs
index dbcb5ee..768457a 100644
--- a/src/space/space_generics.rs
+++ b/src/space/space_generics.rs
@@ -1,18 +1,18 @@
-use crate::mod_types::Float;
-// f32 or f64 depending on compilation
-
-const EPSILON: Float = Float::EPSILON;
+use rayon::prelude::ParallelSliceMut;
 
 #[derive(Debug, Clone, Copy)]
 pub struct NDBoundary<const DIMENSIONALITY: usize> {
-    pub starts: [Float; DIMENSIONALITY],
-    pub ends: [Float; DIMENSIONALITY],
-    pub widths: [Float; DIMENSIONALITY],
-    pub centers: [Float; DIMENSIONALITY],
+    pub starts: [f32; DIMENSIONALITY],
+    pub ends: [f32; DIMENSIONALITY],
+    pub widths: [f32; DIMENSIONALITY],
+    pub centers: [f32; DIMENSIONALITY],
 }
 
 impl<const D: usize> NDBoundary<D> {
-    pub fn new(starts: [Float; D], ends: [Float; D]) -> NDBoundary<D> {
+    pub fn new(
+        starts: [f32; D],
+        ends: [f32; D],
+    ) -> NDBoundary<D> {
         let mut widths = [0.0; D];
         let mut centers = [0.0; D];
         for i in 0..D {
@@ -36,7 +36,10 @@ impl<const D: usize> NDBoundary<D> {
         }
     }
 
-    pub fn contains(&self, point: &NDPoint<D>) -> bool {
+    pub fn contains(
+        &self,
+        point: &NDPoint<D>,
+    ) -> bool {
         for i in 0..D {
             // if point.values[i] < self.starts[i] || point.values[i] >= self.ends[i] {
             if point.values[i] < self.starts[i] || point.values[i] > self.ends[i] {
@@ -46,7 +49,10 @@ impl<const D: usize> NDBoundary<D> {
         true
     }
 
-    pub fn intersects(&self, other: &NDBoundary<D>) -> bool {
+    pub fn intersects(
+        &self,
+        other: &NDBoundary<D>,
+    ) -> bool {
         for i in 0..D {
             if self.starts[i] >= other.ends[i] || self.ends[i] <= other.starts[i] {
                 return false;
@@ -56,16 +62,16 @@ impl<const D: usize> NDBoundary<D> {
     }
 
     pub fn from_ndpoints(points: &[NDPoint<D>]) -> NDBoundary<D> {
-        let mut starts = [Float::MAX; D];
-        let mut ends = [Float::MIN; D];
+        let mut starts = [f32::MAX; D];
+        let mut ends = [f32::MIN; D];
 
         for point in points.iter() {
             for i in 0..D {
                 if point.values[i] < starts[i] {
-                    starts[i] = point.values[i] - EPSILON;
+                    starts[i] = point.values[i] - f32::EPSILON;
                 }
                 if point.values[i] > ends[i] {
-                    ends[i] = point.values[i] + EPSILON;
+                    ends[i] = point.values[i] + f32::EPSILON;
                 }
             }
         }
@@ -73,7 +79,10 @@ impl<const D: usize> NDBoundary<D> {
         NDBoundary::new(starts, ends)
     }
 
-    pub fn expand(&mut self, factors: &[Float; D]) {
+    pub fn expand_relative(
+        &mut self,
+        factors: &[f32; D],
+    ) {
         for (i, ef) in factors.iter().enumerate() {
             let mut half_width = self.widths[i] / 2.0;
             let center = self.centers[i];
@@ -86,60 +95,48 @@ impl<const D: usize> NDBoundary<D> {
             self.centers[i] = (self.ends[i] + self.starts[i]) / 2.0;
         }
     }
+    pub fn expand_absolute(
+        &mut self,
+        factors: &[f32; D],
+    ) {
+        for (i, ef) in factors.iter().enumerate() {
+            let new_start = self.starts[i] - ef;
+            let new_end = self.ends[i] + ef;
+            let new_center = (new_start + new_end) / 2.0;
+            let new_width = new_end - new_start;
+
+            self.starts[i] = new_start;
+            self.ends[i] = new_end;
+            self.widths[i] = new_width;
+            self.centers[i] = new_center;
+        }
+    }
 }
 
 // #[derive(Debug, Clone, Copy)]
 // Oddly enough ... adding copy makes it slower ...
-#[derive(Debug, Clone)]
+#[derive(Debug, Clone, Copy)]
 pub struct NDPoint<const DIMENSIONALITY: usize> {
-    pub values: [Float; DIMENSIONALITY],
+    pub values: [f32; DIMENSIONALITY],
 }
 
-// Q: is there any instance where T is not usize?
-pub trait IndexedPoints<'a, const N: usize, T> {
-    fn query_ndpoint(&'a self, point: &NDPoint<N>) -> Vec<&'a T>;
+pub trait QueriableIndexedPoints<const N: usize> {
+    fn query_ndpoint(
+        &self,
+        point: &NDPoint<N>,
+    ) -> Vec<usize> {
+        let (bounds, reference_point) = self.convert_to_bounds_query(point);
+        self.query_ndrange(&bounds, reference_point)
+    }
     fn query_ndrange(
-        &'a self,
+        &self,
         boundary: &NDBoundary<N>,
         reference_point: Option<&NDPoint<N>>,
-    ) -> Vec<&'a T>;
-}
-
-pub trait HasIntensity<T>
-where
-    T: Copy
-        + PartialOrd
-        + std::ops::Add<Output = T>
-        + std::ops::Sub<Output = T>
-        + std::ops::Mul<Output = T>
-        + std::ops::Div<Output = T>
-        + Default,
-{
-    fn intensity(&self) -> T;
-}
-
-pub trait TraceLike<R: std::convert::Into<f64>> {
-    fn get_mz(&self) -> f64;
-    fn get_intensity(&self) -> u64;
-    fn get_rt(&self) -> R;
-    fn get_ims(&self) -> R;
-    fn get_quad_low_high(&self) -> (f64, f64);
-}
-
-pub trait NDPointConverter<T, const D: usize> {
-    fn convert(&self, elem: &T) -> NDPoint<D>;
-    fn convert_vec(&self, elems: &[T]) -> (Vec<NDPoint<D>>, NDBoundary<D>) {
-        let points = elems
-            .iter()
-            .map(|elem| self.convert(elem))
-            .collect::<Vec<_>>();
-        let boundary = NDBoundary::from_ndpoints(&points);
-        (points, boundary)
-    }
+    ) -> Vec<usize>;
     fn convert_to_bounds_query<'a>(
-        &self,
-        point: &'a NDPoint<D>,
-    ) -> (NDBoundary<D>, Option<&'a NDPoint<D>>) {
+        &'a self,
+        point: &'a NDPoint<N>,
+    ) -> (NDBoundary<N>, Option<&NDPoint<N>>) {
         let bounds = NDBoundary::new(
             point
                 .values
@@ -160,3 +157,142 @@ pub trait NDPointConverter<T, const D: usize> {
         (bounds, Some(point))
     }
 }
+
+pub trait AsNDPointsAtIndex<const D: usize> {
+    fn get_ndpoint(
+        &self,
+        index: usize,
+    ) -> NDPoint<D>;
+    fn num_ndpoints(&self) -> usize;
+}
+
+impl<const D: usize> AsNDPointsAtIndex<D> for [NDPoint<D>] {
+    fn get_ndpoint(
+        &self,
+        index: usize,
+    ) -> NDPoint<D> {
+        self[index]
+    }
+
+    fn num_ndpoints(&self) -> usize {
+        self.len()
+    }
+}
+
+pub trait HasIntensity: Sync + Send {
+    fn intensity(&self) -> u64;
+    fn weight(&self) -> u64 {
+        self.intensity()
+    }
+}
+
+pub trait IntenseAtIndex {
+    fn intensity_at_index(
+        &self,
+        index: usize,
+    ) -> u64;
+    fn weight_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        self.intensity_at_index(index)
+    }
+    fn intensity_index_length(&self) -> usize;
+    fn intensity_sorted_indices(&self) -> Vec<(usize, u64)> {
+        let mut indices: Vec<(usize, u64)> = (0..self.intensity_index_length())
+            .map(|i| (i, self.intensity_at_index(i)))
+            .collect();
+        indices.par_sort_unstable_by_key(|&x| x.1);
+
+        debug_assert!(indices.len() == self.intensity_index_length());
+        if cfg!(debug_assertions) && indices.len() > 1 {
+            for i in 1..indices.len() {
+                if indices[i - 1].1 > indices[i].1 {
+                    panic!("Indices are not sorted");
+                }
+            }
+        }
+        indices
+    }
+}
+
+pub trait AsAggregableAtIndex<T>
+where
+    // T: HasIntensity + Copy,
+    // I am not sure how I want to express this in the type system.
+    T: Copy,
+{
+    fn get_aggregable_at_index(
+        &self,
+        index: usize,
+    ) -> T;
+
+    fn num_aggregable(&self) -> usize;
+}
+
+impl<T> IntenseAtIndex for [T]
+where
+    T: HasIntensity + Copy,
+{
+    fn intensity_at_index(
+        &self,
+        index: usize,
+    ) -> u64 {
+        self[index].intensity()
+    }
+    fn intensity_index_length(&self) -> usize {
+        self.len()
+    }
+}
+
+pub trait DistantAtIndex<T> {
+    fn distance_at_indices(
+        &self,
+        index: usize,
+        other: usize,
+    ) -> T;
+}
+
+impl<const N: usize> DistantAtIndex<f32> for [NDPoint<N>] {
+    fn distance_at_indices(
+        &self,
+        index: usize,
+        other: usize,
+    ) -> f32 {
+        let mut sum = 0.0;
+        for i in 0..N {
+            let diff = self[index].values[i] - self[other].values[i];
+            sum += diff * diff;
+        }
+        sum.sqrt()
+    }
+}
+
+pub trait TraceLike<R: std::convert::Into<f64>> {
+    fn get_mz(&self) -> f64;
+    fn get_intensity(&self) -> u64;
+    fn get_rt(&self) -> R;
+    fn get_ims(&self) -> R;
+    fn get_quad_low_high(&self) -> (f64, f64);
+}
+
+pub trait NDPointConverter<T, const D: usize> {
+    fn convert(
+        &self,
+        elem: &T,
+    ) -> NDPoint<D>;
+    fn convert_aggregables<IT>(
+        &self,
+        elems: &IT,
+    ) -> (Vec<NDPoint<D>>, NDBoundary<D>)
+    where
+        IT: AsAggregableAtIndex<T> + ?Sized,
+        T: Copy,
+    {
+        let points = (0..elems.num_aggregable())
+            .map(|i| self.convert(&elems.get_aggregable_at_index(i)))
+            .collect::<Vec<_>>();
+        let boundary = NDBoundary::from_ndpoints(&points);
+        (points, boundary)
+    }
+}
diff --git a/src/utils.rs b/src/utils.rs
index 33eb566..5f43346 100644
--- a/src/utils.rs
+++ b/src/utils.rs
@@ -1,6 +1,17 @@
-use log::{debug, info, trace};
+use std::cmp::Ordering;
+use std::fmt::Debug;
+use std::time::{
+    Duration,
+    Instant,
+};
+
+use log::{
+    debug,
+    info,
+    trace,
+    warn,
+};
 use num::cast::AsPrimitive;
-use std::time::{Duration, Instant};
 
 pub struct ContextTimer {
     start: Instant,
@@ -18,7 +29,11 @@ pub enum LogLevel {
 }
 
 impl ContextTimer {
-    pub fn new(name: &str, report_start: bool, level: LogLevel) -> ContextTimer {
+    pub fn new(
+        name: &str,
+        report_start: bool,
+        level: LogLevel,
+    ) -> ContextTimer {
         let out = ContextTimer {
             start: Instant::now(),
             name: name.to_string(),
@@ -44,7 +59,10 @@ impl ContextTimer {
         }
     }
 
-    pub fn stop(&mut self, report: bool) -> Duration {
+    pub fn stop(
+        &mut self,
+        report: bool,
+    ) -> Duration {
         let duration = self.start.elapsed();
         self.cumtime += duration;
         if report {
@@ -75,7 +93,10 @@ impl ContextTimer {
         }
     }
 
-    pub fn start_sub_timer(&self, name: &str) -> ContextTimer {
+    pub fn start_sub_timer(
+        &self,
+        name: &str,
+    ) -> ContextTimer {
         ContextTimer::new(
             &format!("{}::{}", self.name, name),
             self.report_start,
@@ -84,6 +105,12 @@ impl ContextTimer {
     }
 }
 
+/// Applies a function to all elements within a certain distance of each element.
+///
+/// Provided a slice of elements (assumed to be sorted by the key function),
+/// a key function. For every element in the slice, a function will be applied
+/// with the indices of the first and last element within the distance of the
+/// current element.
 pub fn within_distance_apply<T, R: Clone, W>(
     elems: &[T],
     key: &dyn Fn(&T) -> R,
@@ -95,6 +122,8 @@ where
     T: Copy,
     W: Default + Copy,
 {
+    // TODO: rename all internal variables ... they made sense before this
+    // was a generic function.
     let mut prefiltered_peaks_bool: Vec<W> = vec![W::default(); elems.len()];
 
     let mut i_left = 0;
@@ -223,7 +252,11 @@ where
     u64: AsPrimitive<T>,
     f64: AsPrimitive<T>,
 {
-    pub fn add(&mut self, x: T, w: W) {
+    pub fn add(
+        &mut self,
+        x: T,
+        w: W,
+    ) {
         // Check for overflows
         self.merge(&Self {
             n: 1,
@@ -281,7 +314,10 @@ where
         self.max
     }
 
-    pub fn merge(&mut self, other: &Self) {
+    pub fn merge(
+        &mut self,
+        other: &Self,
+    ) {
         // There is for sure some optimization to be done here.
         // But right now the math is the hard part ...  would definitely pay off
         let a = *self;
@@ -369,6 +405,130 @@ pub fn get_stats(data: &[f64]) -> Stats {
     }
 }
 
+/// This has been shamelessly copied and very minorly modified from sage.
+/// https://github.com/lazear/sage/blob/93a9a8a7c9f717238fc6c582c0dd501a56159be7/crates/sage/src/database.rs#L498
+/// Althought it really feels like this should be in the standard lib.
+///
+/// Usage:
+/// ```rust
+/// use ionmesh::utils::binary_search_slice;
+/// let data: [f64; 11]= [1.0, 1.5, 1.5, 1.5, 1.5, 2.0, 2.5, 3.0, 3.0, 3.5, 4.0];
+/// let (left, right) = binary_search_slice(&data, |a: &f64, b| a.total_cmp(b), 1.5, 3.25);
+/// assert!(data[left] == 1.5);
+/// assert!(data[right] > 3.25);
+/// assert_eq!(
+///     &data[left..right],
+///     &[1.5, 1.5, 1.5, 1.5, 2.0, 2.5, 3.0, 3.0]
+/// );
+/// let empty: [f64; 0] = [];
+/// let (left, right) = binary_search_slice(&empty, |a: &f64, b| a.total_cmp(b), 1.5, 3.25);
+/// assert_eq!(left, 0);
+/// assert_eq!(right, 0);
+/// let (left, right) = binary_search_slice(&data, |a: &f64, b| a.total_cmp(b), -100., -99.);
+/// assert_eq!(left, 0);
+/// assert_eq!(right, 0);
+/// assert_eq!(&data[left..right], &empty);
+/// let (left, right) = binary_search_slice(&data, |a: &f64, b| a.total_cmp(b), 100., 101.);
+/// assert_eq!(left, data.len());
+/// assert_eq!(right, data.len());
+/// assert_eq!(&data[left..right], &empty);
+/// let data: [f64; 7]= [1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0];
+/// let (left, right) = binary_search_slice(&data, |a: &f64, b| a.total_cmp(b), 1.5, 3.25);
+/// assert!(data[left] == 1.5);
+/// assert!(data[right] > 3.25);
+/// assert!(data[right-1] < 3.25);
+/// assert_eq!(
+///     &data[left..right],
+///     &[1.5, 2.0, 2.5, 3.0]
+/// );
+/// ```
+///
+#[inline]
+pub fn binary_search_slice<T, F, S>(
+    slice: &[T],
+    key: F,
+    low: S,
+    high: S,
+) -> (usize, usize)
+where
+    F: Fn(&T, &S) -> Ordering,
+    T: Debug,
+{
+    let left_idx = match slice.binary_search_by(|a| key(a, &low)) {
+        Ok(mut idx) | Err(mut idx) => {
+            if idx == slice.len() {
+                // This is very non-elegant ... pretty sure I need to split
+                // the ok-err cases to make a more elegant solution.
+                return (idx, idx);
+            }
+            let mut any_nonless = false;
+            while idx != 0 && key(&slice[idx], &low) != Ordering::Less {
+                any_nonless = true;
+                idx -= 1;
+            }
+            if any_nonless {
+                idx = idx.saturating_add(1);
+            }
+            idx
+        },
+    };
+
+    let right_idx = match slice[left_idx..].binary_search_by(|a| key(a, &high)) {
+        Ok(idx) | Err(idx) => {
+            let mut idx = idx + left_idx;
+            while idx < slice.len() && key(&slice[idx], &high) != Ordering::Greater {
+                idx = idx.saturating_add(1);
+            }
+            idx.min(slice.len())
+        },
+    };
+    if cfg!(debug_assertions) {
+        // This makes sure the slice is indexable by the indices.
+        let _foo = &slice[left_idx..right_idx];
+    };
+    (left_idx, right_idx)
+}
+
+/// Serializes to json the object if debug assertions are
+/// enabled and an env variable with the frequency is set.
+/// the env variable should be named `IONMESH_DEBUG_JSON_FREQUENCY`
+/// Also derive the bath to ave to from the env variable `IONMESH_DEBUG_JSON_PATH`
+/// which is created if it does not exist.
+/// The object is serialized to a file named `{name}.json`
+pub fn maybe_save_json_if_debugging<T>(
+    obj: &T,
+    name: &str,
+    force: bool,
+) -> bool
+where
+    T: serde::Serialize,
+{
+    if cfg!(debug_assertions) {
+        let freq = std::env::var("IONMESH_DEBUG_JSON_FREQUENCY");
+        if let Ok(freq) = freq {
+            let freq = freq.parse::<usize>().unwrap();
+            if (force || (freq > 0)) && (force || (rand::random::<usize>() % freq == 0)) {
+                let json = serde_json::to_string_pretty(obj).unwrap();
+                let path = std::env::var("IONMESH_DEBUG_JSON_PATH");
+                let path = if let Ok(path) = path {
+                    if !std::path::Path::new(&path).exists() {
+                        std::fs::create_dir_all(&path).unwrap();
+                    }
+                    std::path::Path::new(&path).join(format!("{}.json", name))
+                } else {
+                    warn!("IONMESH_DEBUG_JSON_PATH not set, saving to current directory");
+                    std::path::Path::new(".").join(format!("{}.json", name))
+                };
+                info!("Saving json to {:?}", path);
+
+                std::fs::write(path, json).unwrap();
+                return true;
+            }
+        }
+    }
+    false
+}
+
 #[cfg(test)]
 mod test_rolling_sd {
     use super::*;
@@ -405,7 +565,10 @@ mod test_rolling_sd {
         6.58, 5.76, 7.71, 8.84, 8.47, 7.04, 5.25, 12.50, 5.56, 7.91, 6.89,
     ];
 
-    fn assert_close(a: f64, b: f64) {
+    fn assert_close(
+        a: f64,
+        b: f64,
+    ) {
         assert!((a - b).abs() < 1e-3, "{} != {}", a, b);
     }
 
diff --git a/src/visualization.rs b/src/visualization.rs
deleted file mode 100644
index aea8708..0000000
--- a/src/visualization.rs
+++ /dev/null
@@ -1,24 +0,0 @@
-pub trait RerunPlottable<T> {
-    fn plot(
-        &self,
-        rec: &mut rerun::RecordingStream,
-        entry_path: String,
-        log_time_in_seconds: Option<f32>,
-        required_extras: T,
-    ) -> Result<(), Box<dyn std::error::Error>>;
-}
-
-// #[cfg(feature='viz')]
-pub fn setup_recorder() -> rerun::RecordingStream {
-    let rec = rerun::RecordingStreamBuilder::new("rerun_jspp_denoiser").connect();
-    match rec {
-        Ok(rec) => {
-            rec.set_time_seconds("rt_seconds", 0.0f64);
-            rec
-        }
-        Err(e) => {
-            // If the viz mode is on ... there has to be a viz...
-            panic!("Error setting up recorder: {:?}", e);
-        }
-    }
-}
diff --git a/tests/data/.gitignore b/tests/data/.gitignore
new file mode 100644
index 0000000..3c47299
--- /dev/null
+++ b/tests/data/.gitignore
@@ -0,0 +1,4 @@
+
+**.tdf
+**.d
+**.tdf_bin
diff --git a/tests/data/README.md b/tests/data/README.md
new file mode 100644
index 0000000..9905bdf
--- /dev/null
+++ b/tests/data/README.md
@@ -0,0 +1,11 @@
+
+# Build testing data
+
+The main purpose of this is to have a reproducible way to generate
+data for testing. This should keep the repo size small and allow for
+ease of extension of the tests as we might see fit.
+
+One of the things I am attempting to do is to keep all the data represented
+in plain text and then built onto the binary formats that actually get
+used. The main rationale for is is transparency, improve the utility of
+the source control and mild paranoia after the XZ exploit.
diff --git a/tests/data/build.bash b/tests/data/build.bash
new file mode 100644
index 0000000..a5f98e9
--- /dev/null
+++ b/tests/data/build.bash
@@ -0,0 +1,113 @@
+#!/bin/bash
+
+# set -x # Display expansions
+set -e
+set -u
+set -o pipefail
+
+for x in *_tdf; do
+	echo "Processing $x"
+	dotd_name=$x/data.d
+	tdf_name=$dotd_name/analysis.tdf
+	tdf_bin_name=$dotd_name/analysis.tdf_bin
+
+	# Check if the .d directory exists
+	if [ -d $x/data.d ]; then
+		echo "Directory $x/data.d exists"
+		rm -rf $x/data.d
+	fi
+
+	echo "Creating $x/data.d does not exist"
+	mkdir $x/data.d
+
+    tdf_create=" \
+    CREATE TABLE DiaFrameMsMsInfo ( \
+        Frame INTEGER PRIMARY KEY, \
+        WindowGroup INTEGER NOT NULL, \
+        FOREIGN KEY (Frame) REFERENCES Frames (Id), \
+        FOREIGN KEY (WindowGroup) REFERENCES DiaFrameMsMsWindowGroups (Id) \
+    ); \
+    CREATE TABLE DiaFrameMsMsWindowGroups ( \
+        Id INTEGER PRIMARY KEY \
+    ); \
+    CREATE TABLE DiaFrameMsMsWindows ( \
+        WindowGroup INTEGER NOT NULL, \
+        ScanNumBegin INTEGER NOT NULL, \
+        ScanNumEnd INTEGER NOT NULL, \
+        IsolationMz REAL NOT NULL, \
+        IsolationWidth REAL NOT NULL, \
+        CollisionEnergy REAL NOT NULL, \
+        PRIMARY KEY(WindowGroup, ScanNumBegin), \
+        FOREIGN KEY (WindowGroup) REFERENCES DiaFrameMsMsWindowGroups (Id) \
+    ) WITHOUT ROWID; \
+    CREATE TABLE TimsCalibration ( \
+        Id INTEGER PRIMARY KEY, \
+        ModelType INTEGER NOT NULL, \
+        C0 \
+    , C1, C2, C3, C4, C5, C6, C7, C8, C9); \
+    CREATE TABLE MzCalibration ( \
+        Id INTEGER PRIMARY KEY, \
+        ModelType INTEGER NOT NULL, \
+        DigitizerTimebase REAL NOT NULL, \
+        DigitizerDelay REAL NOT NULL, \
+        T1 REAL NOT NULL, \
+        T2 REAL NOT NULL, \
+        dC1 REAL NOT NULL, \
+        dC2 REAL NOT NULL, \
+        C0 \
+    , C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11, C12, C13, C14); \
+    CREATE TABLE Frames ( \
+        Id INTEGER PRIMARY KEY, \
+        Time REAL NOT NULL, \
+        Polarity CHAR(1) CHECK (Polarity IN ('+', '-')) NOT NULL, \
+        ScanMode INTEGER NOT NULL, \
+        MsMsType INTEGER NOT NULL, \
+        TimsId INTEGER, \
+        MaxIntensity INTEGER NOT NULL, \
+        SummedIntensities INTEGER NOT NULL, \
+        NumScans INTEGER NOT NULL, \
+        NumPeaks INTEGER NOT NULL, \
+        MzCalibration INTEGER NOT NULL, \
+        T1 REAL NOT NULL, \
+        T2 REAL NOT NULL, \
+        TimsCalibration INTEGER NOT NULL, \
+        PropertyGroup INTEGER, \
+        AccumulationTime REAL NOT NULL, \
+        RampTime REAL NOT NULL, \
+        Pressure REAL, \
+        FOREIGN KEY (MzCalibration) REFERENCES MzCalibration (Id), \
+        FOREIGN KEY (TimsCalibration) REFERENCES TimsCalibration (Id), \
+        FOREIGN KEY (PropertyGroup) REFERENCES PropertyGroups (Id) \
+    ); \
+    CREATE TABLE GlobalMetadata ( \
+        Key TEXT PRIMARY KEY, \
+        Value TEXT \
+    ); \
+    "
+
+    echo "Creating tables"
+    sqlite3 ${tdf_name} "${tdf_create}"
+    # Show schema
+    sqlite3 ${tdf_name} ".schema"
+
+	echo "DiaFrameMsMsWindowGroups >>>"
+	sqlite3 -cmd ".mode csv" -separator $'\t' ${tdf_name} ".import --skip 1 ${x}/dia_frame_msms_window_groups.tsv DiaFrameMsMsWindowGroups"
+	sqlite3 ${tdf_name} "SELECT * FROM DiaFrameMsMsWindowGroups LIMIT 5"
+	echo "DiaFrameMsMsWindows >>>"
+	sqlite3 -cmd ".mode csv"  -separator $'\t' ${tdf_name} ".import --skip 1 ${x}/dia_frame_msms_windows.tsv DiaFrameMsMsWindows"
+	sqlite3 ${tdf_name} "SELECT * FROM DiaFrameMsMsWindows LIMIT 5"
+	echo "DiaFrameMsMsInfo >>>"
+	sqlite3 -cmd ".mode csv"  -separator $'\t' ${tdf_name} ".import --skip 1 ${x}/dia_frame_msms_info.tsv DiaFrameMsMsInfo"
+	sqlite3 ${tdf_name} "SELECT * FROM DiaFrameMsMsInfo  LIMIT 5"
+	echo "Frames >>>"
+	sqlite3 -cmd ".mode csv"  -separator $'\t' ${tdf_name} ".import --skip 1 ${x}/frames.tsv Frames"
+	sqlite3 ${tdf_name} "SELECT * FROM Frames LIMIT 5"
+	echo "Global Metadata >>>"
+	sqlite3 -cmd ".mode csv"  -separator $'\t' ${tdf_name} ".import --skip 1 ${x}/global_metadata.tsv GlobalMetadata"
+	sqlite3 ${tdf_name} "SELECT * FROM GlobalMetadata LIMIT 5"
+
+	echo "Creating tdf_bin"
+	touch ${tdf_bin_name}
+	# sqlite3 -separator ',' ${tdf_name} ".import ${x}/dia_frame_msms_window_groups.tsv DiaFrameMsMsWindowGroups"
+
+done
diff --git a/tests/data/diapasef_tdf/README.md b/tests/data/diapasef_tdf/README.md
new file mode 100644
index 0000000..a4822c3
--- /dev/null
+++ b/tests/data/diapasef_tdf/README.md
@@ -0,0 +1,5 @@
+
+# diaPASEF test data
+
+This is a modified method that removes the intermediate window
+from each window group (thus should not be used for acquisition of real data).
diff --git a/tests/data/diapasef_tdf/dia_frame_msms_info.tsv b/tests/data/diapasef_tdf/dia_frame_msms_info.tsv
new file mode 100644
index 0000000..7087b75
--- /dev/null
+++ b/tests/data/diapasef_tdf/dia_frame_msms_info.tsv
@@ -0,0 +1,27 @@
+Frame	WindowGroup
+2	1
+3	2
+4	3
+5	4
+6	5
+7	6
+8	7
+9	8
+11	1
+12	2
+13	3
+14	4
+15	5
+16	6
+17	7
+18	8
+20	1
+21	2
+22	3
+23	4
+24	5
+25	6
+26	7
+27	8
+29	1
+30	2
diff --git a/tests/data/diapasef_tdf/dia_frame_msms_window_groups.tsv b/tests/data/diapasef_tdf/dia_frame_msms_window_groups.tsv
new file mode 100644
index 0000000..41a5d76
--- /dev/null
+++ b/tests/data/diapasef_tdf/dia_frame_msms_window_groups.tsv
@@ -0,0 +1,9 @@
+Id
+1
+2
+3
+4
+5
+6
+7
+8
diff --git a/tests/data/diapasef_tdf/dia_frame_msms_windows.tsv b/tests/data/diapasef_tdf/dia_frame_msms_windows.tsv
new file mode 100644
index 0000000..d83be41
--- /dev/null
+++ b/tests/data/diapasef_tdf/dia_frame_msms_windows.tsv
@@ -0,0 +1,17 @@
+WindowGroup	ScanNumBegin	ScanNumEnd	IsolationMz	IsolationWidth	CollisionEnergy
+1	100	397	812.5	25.0	42.9829890643986
+1	545	701	412.5	25.0	25.2126366950182
+2	100	372	837.5	25.0	43.5516403402187
+2	529	701	437.5	25.0	25.591737545565
+3	100	356	862.5	25.0	43.9307411907655
+3	512	701	462.5	25.0	26.0182260024301
+4	100	331	887.5	25.0	44.546780072904
+4	487	701	487.5	25.0	26.5868772782503
+5	100	315	912.5	25.0	44.9258809234508
+5	471	701	512.5	25.0	26.9659781287971
+6	100	298	937.5	25.0	45.3049817739976
+6	455	701	537.5	25.0	27.3450789793439
+7	100	273	962.5	25.0	45.9210206561361
+7	430	701	562.5	25.0	27.9611178614824
+8	100	257	987.5	25.0	46.3001215066829
+8	413	701	587.5	25.0	28.3402187120292
diff --git a/tests/data/diapasef_tdf/frames.tsv b/tests/data/diapasef_tdf/frames.tsv
new file mode 100644
index 0000000..74ea921
--- /dev/null
+++ b/tests/data/diapasef_tdf/frames.tsv
@@ -0,0 +1,31 @@
+Id	Time	Polarity	ScanMode	MsMsType	TimsId	MaxIntensity	SummedIntensities	NumScans	NumPeaks	MzCalibration	T1	T2	TimsCalibration	PropertyGroup	AccumulationTime	RampTime	Pressure	Denoised
+1	0.629856	+	9	0	64	5703	20584600	702	207045	1	25.6283947324288	25.2205013174081	1	1	75.007	75.007	2.38367083527434	0
+2	0.711303	+	9	9	529662	353	765269	702	8629	1	25.6283947324288	25.2205013174081	1	1	75.007	75.007	2.38367083527434	0
+3	0.793147	+	9	9	558593	333	810787	702	9216	1	25.6283947324288	25.2205013174081	1	1	75.007	75.007	2.38367083527434	0
+4	0.874307	+	9	9	589670	352	806706	702	9166	1	25.6283947324288	25.2205013174081	1	1	75.007	75.007	2.38367083527434	0
+5	0.955803	+	9	9	620635	361	870237	702	9841	1	25.6283947324288	25.2205013174081	1	1	75.007	75.007	2.38367083527434	0
+6	1.037344	+	9	9	653825	339	762751	702	8683	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+7	1.118971	+	9	9	683862	307	215401	702	2643	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+8	1.200507	+	9	9	694381	285	219393	702	2698	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+9	1.282113	+	9	9	705082	323	217661	702	2699	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+10	1.363679	+	9	0	715791	4700	14455769	702	137731	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+11	1.445201	+	9	9	1085008	335	182136	702	2171	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+12	1.526763	+	9	9	1093720	265	197002	702	2385	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+13	1.608378	+	9	9	1103213	335	194271	702	2390	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+14	1.689932	+	9	9	1112731	275	213692	702	2651	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+15	1.771684	+	9	9	1123167	291	194091	702	2387	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+16	1.853082	+	9	9	1132719	279	227903	702	2734	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+17	1.934854	+	9	9	1143499	339	218924	702	2678	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+18	2.01618	+	9	9	1154098	311	219963	702	2726	1	25.6284306232993	25.2215316591914	1	1	75.007	75.007	2.38367411214861	0
+19	2.098584	+	9	0	1164901	4334	14552572	702	138252	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
+20	2.179965	+	9	9	1535400	313	180439	702	2208	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
+21	2.261624	+	9	9	1544189	319	203342	702	2463	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
+22	2.343267	+	9	9	1553941	281	192025	702	2387	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
+23	2.424795	+	9	9	1563460	308	244388	702	2911	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
+24	2.506324	+	9	9	1574834	260	211498	702	2571	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
+25	2.587853	+	9	9	1585037	311	225892	702	2838	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
+26	2.669553	+	9	9	1596209	273	202152	702	2507	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
+27	2.751017	+	9	9	1606208	285	213091	702	2624	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
+28	2.832589	+	9	0	1616628	4685	14300741	702	135361	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
+29	2.914227	+	9	9	1979387	332	179155	702	2233	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
+30	2.995541	+	9	9	1988354	284	182142	702	2284	1	25.628466156872	25.2221137185281	1	1	75.007	75.007	2.38367735640121	0
diff --git a/tests/data/diapasef_tdf/global_metadata.tsv b/tests/data/diapasef_tdf/global_metadata.tsv
new file mode 100644
index 0000000..9581c9b
--- /dev/null
+++ b/tests/data/diapasef_tdf/global_metadata.tsv
@@ -0,0 +1,6 @@
+Key	Value
+OneOverK0AcqRangeLower	0.600000
+OneOverK0AcqRangeUpper	1.600000
+MzAcqRangeLower	50.000000
+MzAcqRangeUpper	1700.000000
+DigitizerNumSamples	434064
diff --git a/tests/data/synchropasef_tdf/README.md b/tests/data/synchropasef_tdf/README.md
new file mode 100644
index 0000000..0afab32
--- /dev/null
+++ b/tests/data/synchropasef_tdf/README.md
@@ -0,0 +1,5 @@
+
+# Synchro Pasef
+
+This is a section of the data from the syncho pasef manuscript.
+SPECIFICALLY, I am keeping only scan numbers 1-200 (1-918 in the original data).
diff --git a/tests/data/synchropasef_tdf/dia_frame_msms_info.tsv b/tests/data/synchropasef_tdf/dia_frame_msms_info.tsv
new file mode 100644
index 0000000..0bed4c7
--- /dev/null
+++ b/tests/data/synchropasef_tdf/dia_frame_msms_info.tsv
@@ -0,0 +1,31 @@
+Frame	WindowGroup
+2	1
+3	2
+4	3
+5	4
+7	1
+8	2
+9	3
+10	4
+12	1
+13	2
+14	3
+15	4
+17	1
+18	2
+19	3
+20	4
+22	1
+23	2
+24	3
+25	4
+27	1
+28	2
+29	3
+30	4
+32	1
+33	2
+34	3
+35	4
+37	1
+38	2
diff --git a/tests/data/synchropasef_tdf/dia_frame_msms_window_groups.tsv b/tests/data/synchropasef_tdf/dia_frame_msms_window_groups.tsv
new file mode 100644
index 0000000..2fa7349
--- /dev/null
+++ b/tests/data/synchropasef_tdf/dia_frame_msms_window_groups.tsv
@@ -0,0 +1,5 @@
+Id
+1
+2
+3
+4
diff --git a/tests/data/synchropasef_tdf/dia_frame_msms_windows.tsv b/tests/data/synchropasef_tdf/dia_frame_msms_windows.tsv
new file mode 100644
index 0000000..a6ca310
--- /dev/null
+++ b/tests/data/synchropasef_tdf/dia_frame_msms_windows.tsv
@@ -0,0 +1,804 @@
+WindowGroup	ScanNumBegin	ScanNumEnd	IsolationMz	IsolationWidth	CollisionEnergy
+1	0	1	1127.558	25.0	10.0
+1	1	2	1126.6501568627	25.0	10.0
+1	2	3	1125.7423137254	25.0	10.0
+1	3	4	1124.8344705881	25.0	10.0
+1	4	5	1123.9266274508	25.0	10.0
+1	5	6	1123.0187843135	25.0	10.0
+1	6	7	1122.1109411762	25.0	10.0
+1	7	8	1121.2030980389	25.0	10.0
+1	8	9	1120.2952549016	25.0	10.0
+1	9	10	1119.3874117643	25.0	10.0
+1	10	11	1118.479568627	25.0	10.0
+1	11	12	1117.5717254897	25.0	10.0
+1	12	13	1116.6638823524	25.0	10.0
+1	13	14	1115.7560392151	25.0	10.0
+1	14	15	1114.8481960778	25.0	10.0
+1	15	16	1113.9403529405	25.0	10.0
+1	16	17	1113.0325098032	25.0	10.0
+1	17	18	1112.1246666659	25.0	10.0
+1	18	19	1111.2168235286	25.0	10.0
+1	19	20	1110.3089803913	25.0	10.0
+1	20	21	1109.401137254	25.0	10.0
+1	21	22	1108.4932941167	25.0	10.0
+1	22	23	1107.5854509794	25.0	10.0
+1	23	24	1106.6776078421	25.0	10.0
+1	24	25	1105.7697647048	25.0	10.0
+1	25	26	1104.8619215675	25.0	10.0
+1	26	27	1103.9540784302	25.0	10.0
+1	27	28	1103.0462352929	25.0	10.0
+1	28	29	1102.1383921556	25.0	10.0
+1	29	30	1101.2305490183	25.0	10.0
+1	30	31	1100.322705881	25.0	10.0
+1	31	32	1099.4148627437	25.0	10.0
+1	32	33	1098.5070196064	25.0	10.0
+1	33	34	1097.5991764691	25.0	10.0
+1	34	35	1096.6913333318	25.0	10.0
+1	35	36	1095.7834901945	25.0	10.0
+1	36	37	1094.8756470572	25.0	10.0
+1	37	38	1093.9678039199	25.0	10.0
+1	38	39	1093.0599607826	25.0	10.0
+1	39	40	1092.1521176453	25.0	10.0
+1	40	41	1091.244274508	25.0	10.0
+1	41	42	1090.3364313707	25.0	10.0
+1	42	43	1089.4285882334	25.0	10.0
+1	43	44	1088.5207450961	25.0	10.0
+1	44	45	1087.6129019588	25.0	10.0
+1	45	46	1086.7050588215	25.0	10.0
+1	46	47	1085.7972156842	25.0	10.0
+1	47	48	1084.8893725469	25.0	10.0
+1	48	49	1083.9815294096	25.0	10.0
+1	49	50	1083.0736862723	25.0	10.0
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+4	126	127	1088.1697647008	25.0	10.0
+4	127	128	1087.2619215635	25.0	10.0
+4	128	129	1086.3540784262	25.0	10.0
+4	129	130	1085.4462352889	25.0	10.0
+4	130	131	1084.5383921516	25.0	10.0
+4	131	132	1083.6305490143	25.0	10.0
+4	132	133	1082.722705877	25.0	10.0
+4	133	134	1081.8148627397	25.0	10.0
+4	134	135	1080.9070196024	25.0	10.0
+4	135	136	1079.9991764651	25.0	10.0
+4	136	137	1079.0913333278	25.0	10.0
+4	137	138	1078.1834901905	25.0	10.0
+4	138	139	1077.2756470532	25.0	10.0
+4	139	140	1076.3678039159	25.0	10.0
+4	140	141	1075.4599607786	25.0	10.0
+4	141	142	1074.5521176413	25.0	10.0
+4	142	143	1073.644274504	25.0	10.0
+4	143	144	1072.7364313667	25.0	10.0
+4	144	145	1071.8285882294	25.0	10.0
+4	145	146	1070.9207450921	25.0	10.0
+4	146	147	1070.0129019548	25.0	10.0
+4	147	148	1069.1050588175	25.0	10.0
+4	148	149	1068.1972156802	25.0	10.0
+4	149	150	1067.2893725429	25.0	10.0
+4	150	151	1066.3815294056	25.0	10.0
+4	151	152	1065.4736862683	25.0	10.0
+4	152	153	1064.565843131	25.0	10.0
+4	153	154	1063.6579999937	25.0	10.0
+4	154	155	1062.7501568564	25.0	10.0
+4	155	156	1061.8423137191	25.0	10.0
+4	156	157	1060.9344705818	25.0	10.0
+4	157	158	1060.0266274445	25.0	10.0
+4	158	159	1059.1187843072	25.0	10.0
+4	159	160	1058.2109411699	25.0	10.0
+4	160	161	1057.3030980326	25.0	10.0
+4	161	162	1056.3952548953	25.0	10.0
+4	162	163	1055.487411758	25.0	10.0
+4	163	164	1054.5795686207	25.0	10.0
+4	164	165	1053.6717254834	25.0	10.0
+4	165	166	1052.7638823461	25.0	10.0
+4	166	167	1051.8560392088	25.0	10.0
+4	167	168	1050.9481960715	25.0	10.0
+4	168	169	1050.0403529342	25.0	10.0
+4	169	170	1049.1325097969	25.0	10.0
+4	170	171	1048.2246666596	25.0	10.0
+4	171	172	1047.3168235223	25.0	10.0
+4	172	173	1046.408980385	25.0	10.0
+4	173	174	1045.5011372477	25.0	10.0
+4	174	175	1044.5932941104	25.0	10.0
+4	175	176	1043.6854509731	25.0	10.0
+4	176	177	1042.7776078358	25.0	10.0
+4	177	178	1041.8697646985	25.0	10.0
+4	178	179	1040.9619215612	25.0	10.0
+4	179	180	1040.0540784239	25.0	10.0
+4	180	181	1039.1462352866	25.0	10.0
+4	181	182	1038.2383921493	25.0	10.0
+4	182	183	1037.330549012	25.0	10.0
+4	183	184	1036.42270588	25.0	10.0
+4	184	185	1035.5148627427	25.0	10.0
+4	185	186	1034.6070196054	25.0	10.0
+4	186	187	1033.6991764681	25.0	10.0
+4	187	188	1032.7913333308	25.0	10.0
+4	188	189	1031.8834901935	25.0	10.0
+4	189	190	1030.9756470562	25.0	10.0
+4	190	191	1030.0678039189	25.0	10.0
+4	191	192	1029.1599607816	25.0	10.0
+4	192	193	1028.2521176443	25.0	10.0
+4	193	194	1027.344274507	25.0	10.0
+4	194	195	1026.4364313697	25.0	10.0
+4	195	196	1025.5285882324	25.0	10.0
+4	196	197	1024.6207450951	25.0	10.0
+4	197	198	1023.7129019578	25.0	10.0
+4	198	199	1022.8050588205	25.0	10.0
+4	199	200	1021.8972156832	25.0	10.0
+4	200	201	1020.9893725459	25.0	10.0
diff --git a/tests/data/synchropasef_tdf/frames.tsv b/tests/data/synchropasef_tdf/frames.tsv
new file mode 100644
index 0000000..792ab1d
--- /dev/null
+++ b/tests/data/synchropasef_tdf/frames.tsv
@@ -0,0 +1,31 @@
+Id	Time	Polarity	ScanMode	MsMsType	TimsId	MaxIntensity	SummedIntensities	NumScans	NumPeaks	MzCalibration	T1	T2	TimsCalibration	PropertyGroup	AccumulationTime	RampTime	Pressure
+1	0.649239	+	9	0	64	9608	22380878	918	339849	1	25.3746447717924	25.85769581691	1	1	99.953	99.953	2.69219928765415
+2	0.754762	+	9	9	807381	796	565177	918	6680	1	25.3746447717924	25.85769581691	1	1	99.953	99.953	2.69219928765415
+3	0.87014	+	9	9	828914	1014	595464	918	7300	1	25.3746447717924	25.85769581691	1	1	99.953	99.953	2.69219928765415
+4	0.985113	+	9	9	852190	902	615081	918	7645	1	25.3746447717924	25.85769581691	1	1	99.953	99.953	2.69219928765415
+5	1.099038	+	9	9	876521	754	707930	918	8723	1	25.3746447717924	25.85769581691	1	1	99.953	99.953	2.69219928765415
+6	1.206625	+	9	0	903694	11802	22093749	918	333488	1	25.3746447717924	25.85769581691	1	1	99.953	99.953	2.69219928765415
+7	1.321188	+	9	9	1696979	868	560818	918	6566	1	25.3746447717924	25.85769581691	1	1	99.953	99.953	2.69219928765415
+8	1.435212	+	9	9	1718265	1023	624752	918	7520	1	25.3747080388505	25.8575495182923	1	1	99.953	99.953	2.69219730372168
+9	1.553013	+	9	9	1742123	893	644103	918	7896	1	25.3747080388505	25.8575495182923	1	1	99.953	99.953	2.69219730372168
+10	1.668145	+	9	9	1767035	604	734712	918	9079	1	25.3747080388505	25.8575495182923	1	1	99.953	99.953	2.69219730372168
+11	1.773772	+	9	0	1795220	11802	23231987	918	353225	1	25.3747080388505	25.8575495182923	1	1	99.953	99.953	2.69219730372168
+12	1.89001	+	9	9	2630589	584	580882	918	6807	1	25.3747080388505	25.8575495182923	1	1	99.953	99.953	2.69219730372168
+13	2.004614	+	9	9	2652511	1099	599078	918	7281	1	25.3747080388505	25.8575495182923	1	1	99.953	99.953	2.69219730372168
+14	2.118491	+	9	9	2675725	1022	651814	918	7974	1	25.3747080388505	25.8575495182923	1	1	99.953	99.953	2.69219730372168
+15	2.234585	+	9	9	2700860	1331	718188	918	8917	1	25.3747080388505	25.8575495182923	1	1	99.953	99.953	2.69219730372168
+16	2.341645	+	9	0	2728609	14305	23845396	918	364200	1	25.3747080388505	25.8575495182923	1	1	99.953	99.953	2.69219730372168
+17	2.455272	+	9	9	3586919	1039	583917	918	6869	1	25.3747769054014	25.8576310650414	1	1	99.953	99.953	2.6921953395395
+18	2.571329	+	9	9	3609024	1107	611420	918	7364	1	25.3747769054014	25.8576310650414	1	1	99.953	99.953	2.6921953395395
+19	2.685878	+	9	9	3632551	727	633041	918	7835	1	25.3747769054014	25.8576310650414	1	1	99.953	99.953	2.6921953395395
+20	2.800244	+	9	9	3657359	843	739810	918	9039	1	25.3747769054014	25.8576310650414	1	1	99.953	99.953	2.6921953395395
+21	2.906669	+	9	0	3685359	20236	23908348	918	364509	1	25.3747769054014	25.8576310650414	1	1	99.953	99.953	2.6921953395395
+22	3.021733	+	9	9	4543659	1129	574257	918	6640	1	25.3747769054014	25.8576310650414	1	1	99.953	99.953	2.6921953395395
+23	3.136321	+	9	9	4565153	1287	614888	918	7477	1	25.3747769054014	25.8576310650414	1	1	99.953	99.953	2.6921953395395
+24	3.250921	+	9	9	4589062	867	632434	918	7888	1	25.3747769054014	25.8576310650414	1	1	99.953	99.953	2.6921953395395
+25	3.3672	+	9	9	4613967	584	746635	918	9193	1	25.3747769054014	25.8576310650414	1	1	99.953	99.953	2.6921953395395
+26	3.473245	+	9	0	4642458	11802	23807723	918	360480	1	25.3746198444182	25.8574854110363	1	1	99.953	99.953	2.69219320151607
+27	3.587991	+	9	9	5492940	1660	594056	918	6804	1	25.3746198444182	25.8574854110363	1	1	99.953	99.953	2.69219320151607
+28	3.702125	+	9	9	5514965	1516	621941	918	7354	1	25.3746198444182	25.8574854110363	1	1	99.953	99.953	2.69219320151607
+29	3.818285	+	9	9	5538441	953	645371	918	7977	1	25.3746198444182	25.8574854110363	1	1	99.953	99.953	2.69219320151607
+30	3.932387	+	9	9	5563578	415	739569	918	9137	1	25.3746198444182	25.8574854110363	1	1	99.953	99.953	2.69219320151607
diff --git a/tests/data/synchropasef_tdf/global_metadata.tsv b/tests/data/synchropasef_tdf/global_metadata.tsv
new file mode 100644
index 0000000..9581c9b
--- /dev/null
+++ b/tests/data/synchropasef_tdf/global_metadata.tsv
@@ -0,0 +1,6 @@
+Key	Value
+OneOverK0AcqRangeLower	0.600000
+OneOverK0AcqRangeUpper	1.600000
+MzAcqRangeLower	50.000000
+MzAcqRangeUpper	1700.000000
+DigitizerNumSamples	434064