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 market is fueled by the technology’s ability to map biomolecules and cellular interactions within tissues, enabling ...
A new technique brings CRISPR-mediated gene editing together with spatial transcriptomics and imaging to study the ...
The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the ...
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 ...
SANTA CLARA, CA, UNITED STATES, January 20, 2026 /EINPresswire.com/ -- OmicInsight Corporation, an innovator in ...
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 ...
Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global ...
Researchers have developed two innovative tools to help us delve deeper into cell communication, offering spatial insight ...
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.
The architecture of tissues is defined by the spatial organization of their cells. Probing how cells affect one another in a spatial context holds vast potential for understanding health and disease.
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