Spatial transcriptomics data analysis increasingly depends on artificial intelligence (AI) to convert raw, location-tagged gene expression readings into a usable map of tissue biology. Unlike ...

Leader in spatial multi-omics technologies launches new generation of MERFISH chemistry and bridges basic and translational research with new pathology-grade, clinically relevant biomarkers CAMBRIDGE, ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Vizgen, the life science company dedicated to improving human health by visualizing single-cell spatial genomics information, today announced an expansion of its ...

The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within tissues. While traditional RNA sequencing methods generate quantitative ...

Spatial ribonucleic acid (RNA) transcriptomics measures gene expression while preserving each molecule’s coordinates in intact tissue, tying transcripts to histology and local microenvironments.

Technological development is key to improving the way hematologic cancer is diagnosed and treated. With this vision, the Josep Carreras Leukemia Research Institute is committed to the creation and ...

Spatial transcriptomics is a cutting-edge technique that characterizes gene expression within sections of tissue, such as heart, skin or liver tissue. These snapshots provide insights into how spatial ...

A collaborative project has created a comprehensive guide to help standardize spatial transcriptomics practices. Spatial transcriptomics provides a unique perspective on the genes that cells express ...

Cell atlasing efforts rest on a deceptively simple premise: To understand a tissue, you must find every cell in it, including the rare populations and transitional states whose biology is often the ...