SubCellSeg: A generalist model for subcellular structure segmentation in 3D fluorescence microscopy
Three-dimensional (3D) segmentation of subcellular structures from fluorescence microscopy images is the foundation of many analyses in quantitative cell biology. The prevailing approach addresses 3D segmentation one structure at a time, with a separate model trained for each structure type. By developing SubCellSeg, we demonstrate that a single model, trained jointly across a diverse range of…
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