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.

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

Illumina, Inc. (NASDAQ: ILMN) today announced the release of Illumina Connected Multiomics, a powerful cloud-based research ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

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 ...

At AGBT, customers will present data demonstrating unparalleled scale and sensitivity in research spanning pulmonary fibrosis, prostate cancer, and 3D reconstructions of mouse brains Company expands ...

In a paper published in the journal Nature Neuroscience, researchers have mapped how stress events during pregnancy can ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Curio Bioscience today announced it has commenced commercial operations with the launch of Curio Seeker, the world’s first high-resolution, whole-transcriptome ...

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 ...