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Welcome to the bombcell 💣 wiki!

Bombcell is a powerful toolbox designed to evaluate the quality of recorded units and extract essential electrophysiological properties. It is specifically tailored for units recorded with Neuropixel probes (3A, 1.0, and 2.0) using SpikeGLX or OpenEphys and spike-sorted with Kilosort.

If you find Bombcell useful in your work, we kindly request that you cite:

Julie M.J. Fabre, Enny H. van Beest, Andrew J. Peters, Matteo Carandini, & Kenneth D. Harris. (2023). Bombcell: automated curation and cell classification of spike-sorted electrophysiology data. Zenodo. https://doi.org/10.5281/zenodo.8172821

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If you have any issues or suggestions please create a github issue by going to the "issues" tab and clicking on the green "new issue" button.

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Table of contents

Overview

• Quick start guide
• Why use quality metrics?
• Installation
• Recommended pre-processing and data acquisition

Quality metrics

• Overview of quality metrics and options
• Detailed overview of quality metrics
• List of all quality metrics and parameters
• Guide to bombcell's GUI
• Using bombcell with phy

Ephys properties and classifying cells

• Guide to bombcell's ephys properties
• Classifying cell types

Troubleshooting and other resources

• Troubleshooting: common errors
• Example studies that use bombcell
• Other ephys utilities
• Important changes log
• Contact us
• Support and citing