Applying single-cell RNA sequencing has led researchers to be able to profile the entire transcriptome of cells. However, these transcriptomes prove difficult to link back to their original location ...

Many biological functions and systems are influenced by how gene expression is spatially distributed, from subcellular through to tissue, organ, or at embryonic level. Our understanding of these ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Spatial ribonucleic acid (RNA) transcriptomics measures gene expression while preserving each molecule’s coordinates in intact tissue, tying transcripts to histology and local microenvironments.