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Interactive segmentation and tracking tools for microscopy images built on Segment Anything.
A deep learning library for single-cell analysis of biological images, specializing in cell segmentation and tracking.
A semi-automated pipeline for instance-aware cell segmentation, tracking, and migration analysis in phase contrast microscopy using Mask R-CNN.
A scalable cell tracking method for 2D, 3D, and multichannel timelapse recordings, robust under segmentation uncertainty.
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