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 ...

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 ...

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.

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 ...

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 ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

(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 ...

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 ...

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