Spatial transcriptomics may have just achieved single-cell resolution. Researchers led by Evan Macosko, Fei Chen, and colleagues at the Broad Institute in Cambridge, Massachusetts, bound together ...

A new spatial transcriptomic technology captures RNA patterns without requiring expensive imaging ...

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.

Illumina is raising the curtain on its upcoming entry into spatial transcriptomics, with tech designed to help researchers explore cellular behavior mapped across complex tissues. The announcement ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

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 ...