The global initiative aims to profile up to 100,000 patient specimens to scale M-Optimus, the world model of biology, representing a ~20x increase in scale over existing data available in the world ...

Understanding cell activities in their spatial context is crucial for revealing spatially influenced cellular states. While single-cell RNA-seq (scRNA-seq) provides comprehensive gene expression ...

Spatial transcriptomics has advanced our understanding of cellular heterogeneity at single-cell resolution. Here, we assess the suitability of in situ sequencing (ISS) for analyzing formalin-fixed, ...

Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...