Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

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

Many spatial biology researchers rely on two-dimensional tools, which section the cellular architecture and processes occurring within 3D tissues into flat layers. Three-dimensional multiomic analysis ...

Over the past decade, the Human Cell Atlas community has accomplished something that will define a generation of biology. Across tissue types and disease states, researchers have catalogued cell ...

The researchers have developed a novel deep learning framework that integrates high-resolution pathology images with spatial transcriptomics and proteomics to reveal the complex intra-tumor ...

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 ...

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 ...