This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and ...

To address these problems, a research team led by Professor Kenta Nakai of the Institute of Medical Science, The University of Tokyo, Japan, developed a deep-learning framework called Spatial ...

A collaborative project has created a comprehensive guide to help standardize spatial transcriptomics practices. Spatial ...

Spatial transcriptomics is a cutting-edge technique that characterizes gene expression within sections of tissue, such as heart ...

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located.

The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within ...

How the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively. Credit: Professor Kenta ...