Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop 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 ...

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 ...

The interdisciplinary field of spatial biology continues to connect omics research with the goal of understanding the spatial distribution of biomolecules that influence biological processes and ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Researchers developed an analytic framework for spatial-omics data that can help to map biological activity within tumors.

Analysis methods enhance our understanding of spatial biology, providing deeper insights into cellular interactions and tissue architecture. In this webinar, we will explore the intricacies of ...

A series of announcements in recent weeks shows just how much the spatial biology field has matured in the years since Nature Methods recognized spatial biology—which it called spatially resolved ...