CellMap Project Team
Using computer vision and machine learning techniques to scalably detect subcellular structures, such as organelles, in datasets generated with next-gen vEM
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- United States of America
- https://www.janelia.org/project-team/cellmap
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- cellmap-data Public
Utility for loading CellMap data for machine learning training, utilizing PyTorch, TensorStore, Xarray, and PyDantic.
janelia-cellmap/cellmap-data’s past year of commit activity - cellmap-segmentation-challenge Public
Repository of scripts to facilitate participation in CellMap's segmentation challenge. This includes downloading data, simple setups for training 2D and 3D models, workflows for prediction and post-processing on out-of-memory arrays, and evaluation of results against validation data.
janelia-cellmap/cellmap-segmentation-challenge’s past year of commit activity - cellmap-analyze Public
janelia-cellmap/cellmap-analyze’s past year of commit activity - igneous-daskified Public
janelia-cellmap/igneous-daskified’s past year of commit activity - metabolic-liver-zonation Public
Analysis code and workflows for mapping organelle architecture across liver zonation using FIB-SEM. Includes tools for ER–mitochondria contact quantification, morphometrics, and zone-aware analysis. Designed for reproducible, modular exploration of metabolic ultrastructure.
janelia-cellmap/metabolic-liver-zonation’s past year of commit activity
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