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.

(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 ...

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

Researchers used spatial transcriptomics to map gene expression in developing wheat spikes at single-cell resolution.

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

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

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 ...

Advancements in AI, multi-omics, and genome editing are transforming life sciences and biotechnology, addressing new ...

Illumina, whose EMEA head office is at Granta Park in Cambridge, has released Illumina Connected Multiomics, a powerful cloud-based research software platform designed to analyse and visualise ...