iStar
Super-resolution spatial gene expression from histology and spatial transcriptomics.
The idea worth knowing: morphology carries enough signal to interpolate molecular data between measured points — but it is inference, not measurement.
- Cost
- Free
- Hardware
- Needs a workstation GPU
- Offline
- Works without a connection
- Scanner
- Not required
- Your data
- Stays on your machine
- Licence
- unknown
- Maturity
- production
What it is
Uses hierarchical image features to integrate spatial transcriptomics with high-resolution histology, raising expression predictions towards near-single-cell resolution rather than the coarse spots the assay produces.
Licence notes
Check the repository before any reuse.
Activity: 169 stars · last commit 2024-12-20 — refreshed nightly
Related
Catalogued 2026-08-02, last checked 2026-08-02. View the source record · Report an error