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 ...

Researchers at the John Innes Centre and the Earlham Institute are pioneering powerful single-cell visualisation techniques ...

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.

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 ...

The partners are launching ImmuneScape, a multiomics program using spatial and single-cell sequencing to study immune drivers ...

Researchers developed two computational tools to decode how cells communicate in tissues. sCCIgen creates realistic virtual ...

We combine advanced technologies such as spatial transcriptomics, multiplexed imaging, and in situ sequencing to map cellular components in their native tissue context. Obtain high-resolution data ...

ILMN's Connected Multiomics, launched after early user input, advances precision health research and may boost the stock.

Smoking tobacco is known to worsen symptoms of periodontitis and reduce responsiveness to treatment. Using high-resolution ...

Based on Application, the spatial genomics & transcriptomics market is segmented into translational research and drug discovery & development. In 2023, the segment on translational research ...