A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research.

Spatial omics is a new generation of technologies that allow scientists to study cells in their original location within ...

A new technique brings CRISPR-mediated gene editing together with spatial transcriptomics and imaging to study the ...

Researchers have developed two innovative tools to help us delve deeper into cell communication, offering spatial insight ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

Spatial transcriptomics is a technique that provides information about gene expression patterns within intact tissues. This technology employs various methodologies, including in situ sequencing (ISS) ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the ...

Co-first author Jiyuan Yang, PhD, St. Jude Department of Computational Biology and co-senior and corresponding author Jiyang Yu, PhD, St. Jude Department of Computational Biology interim chair look at ...

This Collection supports and amplifies research related to SDG 3 - Ensure healthy lives and promote well-being for all at all ages. Cancer research has hugely benefitted from the growth in single-cell ...

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.