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
1 maintainer
Metadata
1 maintainer
Release files for bombcell 0.92
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bombcell-0.92.tar.gz | 164.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bombcell-0.92-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 335.0 kB
Release files / bombcell-0.92.tar.gz
| Download URL | bombcell-0.92.tar.gz |
|---|---|
| Size | 164.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.12.2
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Release files / bombcell-0.92-py3-none-any.whl
| Download URL | bombcell-0.92-py3-none-any.whl |
|---|---|
| Size | 170.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.12.2
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