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-0.63.tar.gz (115.7 kB view details)

Uploaded Source

Built Distribution

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

bombcell-0.63-py3-none-any.whl (121.9 kB view details)

Uploaded Python 3

File details

Details for the file bombcell-0.63.tar.gz.

File metadata

  • Download URL: bombcell-0.63.tar.gz
  • Upload date:
  • Size: 115.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for bombcell-0.63.tar.gz
Algorithm Hash digest
SHA256 9a385ff1f2d1ec189feec98d4988762732cbe1839898dc03d8e21e830574f064
MD5 166d8dee8cec20f80bb105c4d00b6689
BLAKE2b-256 8aa0e0d82db2dbfb12aedd59a2e505f78f645d7b3d0467a7ae017e97ba55c820

See more details on using hashes here.

File details

Details for the file bombcell-0.63-py3-none-any.whl.

File metadata

  • Download URL: bombcell-0.63-py3-none-any.whl
  • Upload date:
  • Size: 121.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for bombcell-0.63-py3-none-any.whl
Algorithm Hash digest
SHA256 1f35c015fb36d4dbb92be9529f059280eed303d8b8093c3f358eb05eb64bc593
MD5 03ad868b9ccd6e7dd89c266e2f2824f0
BLAKE2b-256 d1e8fb32b33af228ab47e6a42261fac22b3f4ae50ea0e09624232b734b986f89

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