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 ...

We combine advanced technologies such as spatial transcriptomics, multiplexed imaging, and in situ sequencing to map cellular components in their native tissue context. Obtain high-resolution data ...

An open-source platform developed by researchers in Nikolaus Rajewsky’s lab at the Max Delbrück Center creates molecular maps from patient tissue samples with subcellular precision, enabling detailed ...

Commercially available spatial transcriptomics tools can be prohibitively expensive. Open-ST, however, uses only standard lab equipment and captures RNA efficiently, reducing costs significantly.

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, ...

Researchers have unveiled a method that uses artificial intelligence to augment the latest spatial transcriptomics technologies. The research focuses on more recent technologies that produce images at ...