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 ...

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 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 ...

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

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 ...

Called SOAR (Spatial transcriptOmics Analysis Resource), the now-live platform is a one-stop shop that helps scientists explore how genes behave differently in various parts of the body, shows them ...

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 ...

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

Illumina, Inc. ILMN recently announced the release of Illumina Connected Multiomics, a cloud-based research software platform to analyze and visualize multiomic and multimodal biological data at scale ...

Researchers at VIB and KU Leuven have identified a molecular process that allows motor neurons to maintain protein production ...

Exploring biology in its native environment is perhaps the ideal scenario for generating better hypotheses about the cellular interactions that influence—and drive—healthy and diseased states, ...