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.

Capturing spatial information is essential to elucidate how cells function and interact within their native tissue environment. However, the initial spatial transcriptomics techniques have several ...

Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...

Spatial biology captures molecular complexity by preserving the physical context of cells in their native environments. From deciphering RNA dynamics within stress granules to scaling molecular ...

A series of announcements in recent weeks shows just how much the spatial biology field has matured in the years since Nature Methods recognized spatial biology—which it called spatially resolved ...

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...