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-0.77.tar.gz (126.5 kB view details)

Uploaded Source

Built Distribution

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

bombcell-0.77-py3-none-any.whl (133.0 kB view details)

Uploaded Python 3

File details

Details for the file bombcell-0.77.tar.gz.

File metadata

  • Download URL: bombcell-0.77.tar.gz
  • Upload date:
  • Size: 126.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.7

File hashes

Hashes for bombcell-0.77.tar.gz
Algorithm Hash digest
SHA256 73f044c7ce994916c426353124bb41bba936cc809452b36c8eefe28dd10d43eb
MD5 4e51bb7cf150e57a4ef656344f4eae5c
BLAKE2b-256 831591c14d5beea3675db3bc1d4681de91b6d8987499217844fa8dfd6e09391d

See more details on using hashes here.

File details

Details for the file bombcell-0.77-py3-none-any.whl.

File metadata

  • Download URL: bombcell-0.77-py3-none-any.whl
  • Upload date:
  • Size: 133.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.7

File hashes

Hashes for bombcell-0.77-py3-none-any.whl
Algorithm Hash digest
SHA256 112923611dc3728cf642af871cffdacca65058525656f9134986a19cb2b7b03d
MD5 6fbc2009cce9265f29bd850489c18190
BLAKE2b-256 d6cbd1f2a8a4973e07719e35b955059e038601acf2bb5147a3b5e84c1721cc09

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