Vitessce is an open-source web-based visualization tool designed for exploration of spatially-resolved single-cell data. As a core developer at the HIDIVE Lab, I contribute to the development and maintenance of this tool that enables researchers to visualize and analyze complex datasets across a variety of modalities. The tool supports multiple data types including spatial transcriptomics, imaging data, and molecular measurements, all within a unified, interactive interface. Vitessce is used by researchers worldwide and is integrated into major data portals including the HuBMAP Data Portal.
Supports simultaneous visualization of spatial transcriptomics, imaging, and molecular data in a unified interface.
Users can pan, zoom, and select cells across spatial and scatterplot views with linked brushing and filtering.
Efficiently loads large datasets from cloud storage using Zarr, OME-TIFF, OME-NGFF, and other formats with chunked, multi-resolution access.
Modular architecture allows user creation of custom visualization components that directly coordinate with Vitessce's other views.