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 ...

(NASDAQ: ILMN) today announced the launch of the StrataMap Spatial Solution, offering an unmatched breadth of coverage and ...

A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial ...

People communicate with each other, sometimes face to face, sometimes with a text message or phone call. Cells also ...

Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...

Breakthrough research details how distinct tissue niches and cell communication contribute to chronic active lesions in MS. Study: Cell type mapping reveals tissue niches and interactions in ...

Background A resemblance of pancreatic tumours to their native tissue architecture remains largely unexplored, while it may ...

Vizgen, Inc., a leader in spatial multiomics and developer of the MERSCOPE Ultra™ Platform, today announced it will debut a 3D Volumetric Tissue Mapping dataset in neurodegenerative brain tissue using ...

A new study has uncovered how antidepressants affect different groups of serotonin-producing brain cells in opposite ways, ...