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 ...

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 ...

In 2021, a technology developed at University of Michigan, called Seq-Scope, revolutionized the ability to map gene activity within intact tissue at microscopic resolution, enabling researchers to ...

Researchers at the Kennedy Institute have developed a new computational framework that allows simultaneous analysis of gene expression and mechanical forces within cells and tissues, uncovering ...

A new advance overcomes present limitations in spatial transcriptomics with a DNA nanotechnology-driven method called 'Light-Seq.' Light-Seq allows researchers to 'geotag' the full repertoire of RNA ...

A new spatial single-cell transcriptomics method demonstrates that cells near the surface of a tumor have different genetic activity from those at the center. Researchers have developed a method to ...

Exploring biology in its native environment is perhaps the ideal scenario for generating better hypotheses about the cellular interactions that influence—and drive—healthy and diseased states, ...

Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...