Biology and medical researchers use spatial transcriptomics (ST) technologies to detect transcription levels in cells, predict cell types and build a tissue's three-dimensional (3D) structure. However ...

Spatial transcriptomics data analysis increasingly depends on artificial intelligence (AI) to convert raw, location-tagged gene expression readings into a usable map of tissue biology. Unlike ...

Combining tissue profiling with whole transcriptome spatial analysis and high-plex protein co-detection enables a deeper, more holistic understanding of tissue organization "The continued expansion of ...

Top: Hematoxylin and eosin (HE) staining of the epipharyngeal mucosa. Bottom: Clustered gene expression map obtained from the same tissue section using Visium HD spatial transcriptomics. Credit must ...

Prostate cancer (PCa) is a highly prevalent malignancy, heavily characterized by complex cellular heterogeneity and highly ...

LatchBio provides white-labeled data infrastructure, analysis tools and delivery portals for kit, instrument, and solution providers. Today, LatchBio released a 25 million cell spatial atlas spanning ...

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 ...