Skip to main content

Python port of bombcell. Automated quality control, curation and neuron classification of spike-sorted electrophysiology data.

Project description

Bombcell

Python port of BombCell. Automated quality control, curation and neuron classification of spike-sorted electrophysiology data.

Installation

To install the latest stable version:

conda create -n bombcell python=3.11
conda activate bombcell
pip install uv
uv pip install bombcell # you could do `pip install .`, but uv is much quicker!

To install the dev version (with the latest updates):

conda create -n bombcell python=3.11
conda activate bombcell
git clone https://github.com/Julie-Fabre/bombcell.git
cd bombcell/pyBombCell
pip install uv
uv pip install -e .

Quick Start

See the demo script

Features

  • Automated quality control for spike-sorted data
  • Interactive GUI for manual curation
  • Cell type classification (cortical and striatal neurons)
  • Comprehensive quality metrics computation
  • Parameter optimization tools

Documentation

See the demo notebooks in the Demos/ directory for detailed examples, and see the wiki for more information

License

GPL-3.0 License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bombcell-0.86.tar.gz (152.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bombcell-0.86-py3-none-any.whl (158.8 kB view details)

Uploaded Python 3

File details

Details for the file bombcell-0.86.tar.gz.

File metadata

  • Download URL: bombcell-0.86.tar.gz
  • Upload date:
  • Size: 152.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.7

File hashes

Hashes for bombcell-0.86.tar.gz
Algorithm Hash digest
SHA256 8c1c5a4be8bc80cce6112c72077e2a99e79eeca8a4f5dd8625db7a6ee5df8e7a
MD5 20567b334c510a79de0089782356f3d0
BLAKE2b-256 d400708eaf0f97a059a32770917a52ac26da563712acfb0343524f0752650ea6

See more details on using hashes here.

File details

Details for the file bombcell-0.86-py3-none-any.whl.

File metadata

  • Download URL: bombcell-0.86-py3-none-any.whl
  • Upload date:
  • Size: 158.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.7

File hashes

Hashes for bombcell-0.86-py3-none-any.whl
Algorithm Hash digest
SHA256 55c4800179b1b7fcf6bc79f32a2259b45e87e18789f1ef2cec23212d19f57e69
MD5 1931bbc60d4415f3616c4b67799ef29d
BLAKE2b-256 78df354968b1a75f52985dc15d6c1c8435e30914eb794fee7679014aaad13887

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page