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
pip install bombcell
For full functionality including optional features:
pip install bombcell[all]
Quick Start
import bombcell as bc
# Set up parameters
param = bc.get_default_parameters("path/to/kilosort_output")
# Run quality metrics
quality_metrics, param, unit_type, unit_type_string = bc.run_bombcell(
"path/to/kilosort_output",
"path/to/bombcell_output",
param
)
# Launch GUI for manual inspection
gui = bc.unit_quality_gui(
ks_dir="path/to/kilosort_output",
quality_metrics=quality_metrics,
unit_types=unit_type,
param=param,
save_path="path/to/bombcell_output"
)
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.
License
GPL-3.0 License
Project details
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