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 ...

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 has come at the cost 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.

Dublin, Nov. 20, 2024 (GLOBE NEWSWIRE) -- The "Spatial Genomics and Transcriptomics - Global Strategic Business Report" report has been added to ResearchAndMarkets.com's offering. The global market ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

Dublin, March 28, 2025 (GLOBE NEWSWIRE) -- The "Spatial Genomics and Transcriptomics Market - A Global and Regional Analysis: Focus on Product Type, Sample Type, Workflow, Application, End User, and ...

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 ...