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 ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

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.

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

Illumina is building the most comprehensive multiomic solutions in the industry, anchored on its world-class sequencing ...

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

(MEMPHIS, Tenn. – December 3, 2025) 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 ...

The field of cancer immunology has witnessed dramatic progress with the advent of immunotherapies targeting the tumor immune microenvironment (TIME).

Discover how the computational analysis of high-plex imaging can enhance spatial resolution and reproducibility to advance biological insights. In this webinar, Hideki Furuya, Associate Professor at ...

Illumina, whose EMEA head office is at Granta Park in Cambridge, has released Illumina Connected Multiomics, a powerful cloud ...

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 ...