CellCanvas is an open-source platform for interactive machine learning applied to cryogenic electron tomography (cryoET) data. It enables researchers to segment and annotate complex three-dimensional cellular structures by combining human expertise with modern ML methods.
This project is developed in association with the Chan Zuckerberg Initiative.
Learn more at cellcanvas.org.
| Repository | Description |
|---|---|
| surforama | Surface-aware exploration of volumetric data in napari |
| cellcanvas | Core interactive ML toolkit for cryoET segmentation |
| napari-cellcanvas | Napari plugin for the CellCanvas platform |
| superpixels | Superpixel methods for cryoET volumes |
| novac | Python tools for cryoET analysis |
| album-catalog | Album catalog of CellCanvas solutions |
| cellcanvas-prototype | Early prototype for interactive ML on cryoET data |
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cellcanvas-prototype cellcanvas-prototype Public
A tool to support interactive machine learning for cryoET data
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napari-cellcanvas napari-cellcanvas Public
Napari plugin for CellCanvas interactive segmentation
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