CHICAGO--(BUSINESS WIRE)--Bruker Corporation (Nasdaq: BRKR) announced today that it will unveil significant advancements in spatial biology and multiomics research at the 2025 American Association for ...

Illumina is raising the curtain on its upcoming entry into spatial transcriptomics, with tech designed to help researchers explore cellular behavior mapped across complex tissues. The announcement ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper ...

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 ...

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, ...

Advancements to include CosMx® Whole Transcriptome Panel; enhanced technology engine to power CellScape™ for spatial proteomics; expansion to 1000-plex protein assay on GeoMx® DSP; and launch of ...

Scientists have identified a new CAF subset in HNSCC using tissue cytometry and spatial transcriptomics. In two-thirds of cases, head and neck squamous cell carcinomas (HNSCC) require treatment with ...

Despite progress in cancer biology, deciphering the spatial architecture of the tumor microenvironment remains a challenge. Traditional approaches lack the resolution to map cell-type-specific gene ...

Spatial omics is transforming how researchers understand tissue biology, revealing the complex interplay between cells in health and disease. While RNA expression studies provide important molecular ...

Available later this quarter, the commercial CosMx SMI and AtoMx® SIP platforms will be upgraded to an integrated 2.0 software. Following this upgrade, commercial CosMx SMI instruments will deliver up ...

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.