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 0.90
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-0.90.tar.gz | 163.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bombcell-0.90-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 334.1 kB
Release files / bombcell-0.90.tar.gz
| Download URL | bombcell-0.90.tar.gz |
|---|---|
| Size | 163.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2c985fbe8321a0775286d523e9851810c950675ae78c931c059d15540c177274
|
|
BLAKE2b-256 checksum How to use checksums |
e7b23b74f2b386cce049203eeb7a4b6e16860273a97856d303588c3129e78f57
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.2
|
Release files / bombcell-0.90-py3-none-any.whl
| Download URL | bombcell-0.90-py3-none-any.whl |
|---|---|
| Size | 170.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4ae39caf8dfcd8649e5c72e6095ac57eba1847a66b654740eff1044b7b204cee
|
|
BLAKE2b-256 checksum How to use checksums |
02c53e1723cb851b9816d4ef4b069a558a548fe13f6e976132c8c1806d22ce0e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.2
|
