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@@ -59,6 +59,7 @@ Biological image analysis aims to increase our understanding of biology through
-[EBImage](https://github.com/aoles/EBImage) - Image processing toolbox for R.
-[GPim](https://github.com/ziatdinovmax/GPim) - Gaussian processes and Bayesian optimization for images and hyperspectral data.
-[MAPS](https://github.com/mahmoodlab/MAPS) - MAPS (Machine learning for Analysis of Proteomics in Spatial biology) is a machine learning approach facilitating rapid and precise cell type identification with human-level accuracy from spatial proteomics data.
-[MicroSAM](https://github.com/computational-cell-analytics/micro-sam) - Tools for segmentation and tracking in microscopy build on top of SegmentAnything. Segment and track objects in microscopy images interactively.
-[MorpholibJ](https://github.com/ijpb/MorphoLibJ) - Collection of mathematical morphology methods and plugins for ImageJ.
-[PartSeg](https://github.com/4DNucleome/PartSeg) - A GUI and a library for segmentation algorithms.
-[PyImSegm](https://github.com/Borda/pyImSegm) - Image segmentation - general superpixel segmentation and center detection and region growing.