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

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

The new software tool ovrlpy improves quality control in spatial transcriptomics, a key technology in biomedical research. Developed by the Berlin Institute of Health at Charité (BIH) in international ...

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 ...

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

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

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.

Stellaromics, a pioneer in high-resolution 3D spatial biology, today announced the installation of its Pyxa™ 3D spatial multi-omics system at Emory University School of Medicine. Emory becomes the ...

(MEMPHIS, Tenn. – December 3, 2025) 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 ...

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