We present SpaHDmap, a deep learning framework that integrates histology images with spatial transcriptomic data to derive high-resolution and interpretable spatial metagenes. We demonstrate that ...

Emerging spatially resolved transcriptomics technologies allow for the measurement of gene expression in situ at cellular resolution. We apply direct RNA hybridization-based in situ sequencing (dRNA ...

The interdisciplinary field of spatial biology continues to connect omics research with the goal of understanding the spatial distribution of biomolecules that influence biological processes and ...

Infrared microscopy involves the examination of small samples, usually within the 10 to 100 μm range. Spatial resolution becomes a significant concern on the scale. The infrared light's relatively ...