Haojia Wu
Save this for a later read:
The multimodality cell segmentation challenge: toward universal solutions #spatial #cellseg
https://www.nature.com/articles/s41592-024-02233-6
The multimodality cell segmentation challenge: toward universal solutions - Nature Methods
Cell segmentation is crucial in many image analysis pipelines. This analysis compares many tools on a multimodal cell segmentation benchmark. A Transformer-based model performed best in terms of performance and general applicability.
BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data #spatial #cellseg #bioinformatics #pytorch
https://www.nature.com/articles/s41467-023-44560-w
https://www.nature.com/articles/s41467-023-44560-w
BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data - Nature Communications
Subcellular in situ spatial transcriptomics offers the promise to address biological problems that were previously inaccessible but requires accurate cell segmentation to uncover insights. Here, authors present BIDCell, a biologically informed, deep learning-based cell segmentation framework.