The advancement of spatial transcriptomics methods, capturing spatial context withi n intact tissue, offers an entirely new understanding of biology. In 2024, Shi et al. conducted one of the first ...

Researchers in Carnegie Mellon University's School of Computer Science have developed a method that uses artificial intelligence to augment how cells are studied and could help scientists better ...

Recognized as Method of the Year by Nature in 2020, spatial transcriptomics employs advanced imaging methods with novel chemistry techniques that stand to dramatically expand our understanding of ...

NanoString Technologies, Inc., a leading provider of life science tools for discovery and translational research, today announced that the journal Nature Methods has selected spatially-resolved ...

A new review in eGastroenterology highlights how single-cell transcriptomics is revolutionizing our understanding of acute ...

“Until now, researchers considering spatial genomics tools have had to choose between unbiased methods that provide high transcriptomic coverage at the cost of resolution, or targeted methods ...

In datasets of human breast cancer and zebrafish melanoma, STAIG successfully identified spatial regions with high resolution, including challenging regions that existing methods struggled to detect.

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.