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

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 ...

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

Spatial omics is a new generation of technologies that allow scientists to study cells in their original location within tissues (without isolating or moving them from their environment). Just as a ...

Challenges and Prospects. Challenges and prospects faced by spatial transcriptomics itself and its application to the musculoskeletal system. AI Artificial intelligence, FFPE Formalin fixed 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.

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

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 ...

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

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