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 ...

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 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 ...

This article explores how researchers are using spatially resolved methods to explore diverse biological processes from ...

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 ...

Breakthrough research details how distinct tissue niches and cell communication contribute to chronic active lesions in MS. Study: Cell type mapping reveals tissue niches and interactions in ...

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 ...

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 ...