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.

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

MIT researchers tested the “Spatial Computing” theory and found that brain waves organize neurons into flexible, ...

Spatial genomics is a cutting-edge field that combines genomics and spatial analysis to investigate the role of genomic features in disease at single-cell resolution. Spatial genomics is a field of ...