WSInsight: a cloud-native, agent-callable platform for single-cell whole-slide pathology
Chao-Hui HuangiD, Oluwamayowa AwosikaiD, Diane R. FernandeziD
Abstract
WSInsight is an open-source platform for cohort-scale H&E whole-slide image analysis. It performs patch-level inference together with single-cell segmentation and phenotype classification, with morphology- and transcriptome-supervised cell-type heads retrainable from public data. Slides are read from cloud repositories and per-slide outputs are written to QuPath and OMERO. The same workflow is AI-agent callable through a Model Context Protocol endpoint. Applying it to TCGA cohorts recovered known immune and molecular associations.
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