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 ...

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 ...

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

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 ...

PLEASANTON, Calif., Feb. 23, 2025 /PRNewswire/ -- At the Advances in Genome Biology and Technology (AGBT) General Meeting, 10x Genomics, Inc. (Nasdaq: TXG), a leader in single cell and spatial biology ...