Observed arrival · 2026-11-06
MATRI-X keeps multiplex tissue-image analysis in the browser
A browser-based tool for measuring tissue patches, learning image features, exploring clusters, and exporting results from multiplex matrix images.
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- Researchers analyzing multiplex tissue images
- Worth noticing
- The hosted GBM example lists 15 ROIs, 13 matrix markers, and 638 MiB; only the current image window is downloaded.
Field notes
The workflow accepts ROI folders or grayscale channel TIFFs, then processes one image window at a time; a queue can cover windows in an ROI or connected TIFF ROIs. Feature learning uses a small convolutional autoencoder, while the shared clustering view offers Leiden resolution, neighbour, and random-seed controls. The page notes that training has no independent validation and that window-level clusters can change when rerun.
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