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

Illumina has announced the development of an advanced spatial transcriptomics technology, with commercial availability expected in 2026. This next-generation solution is designed to enhance ...

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

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 ...

In multicellular organisms, each cell is influenced by the others in its surrounding environment, and the maintenance of cellular and tissue spatiality – or lack thereof – carries significant ...

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

The market is fueled by the technology’s ability to map biomolecules and cellular interactions within tissues, enabling ...

Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context. In musculoskeletal ...