RECON infers regions of interest from H&E images and reconstructs whole-slide molecular profiles at single-cell resolution
Spatial omics technologies resolve molecular expression and spatial architecture at single-cell resolution, but profiling whole slides remains costly. In practice, only a few regions of interest (ROIs) are profiled, leaving the rest of the tissue unmeasured. S2-omics was the first framework to unify ROI selection with out-of-ROI prediction, but it operates on superpixels rather than individual…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
