A Collaborative Platform for Histology and Spatial Data Analysis

This app provides interactive workflows for weakly-supervised spatial classification on whole slide images (H&E, IHC, mIF) and spatial transcriptomics data (Visium, Xenium). Real-time human-in-the-loop labeling enables rapid model training, with inference across whole slide images.

This shared environment enables PDXNet members to collaboratively explore PDX H&E and spatial transcriptomics data — annotating, training, and analyzing together in one place.

Supported by the ACCESS-CI Discover MED260045 allocation — cloud resources provided via Jetstream2.

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Use your Google account to access the platform. Contact Sergii.Domanskyi@jax.org to request access.