The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

Scaling up single-cell sequencing studies allows scientists to uncover rare cell types, better understand disease states, and track cellular changes over time. However, processing, assaying, and ...

A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial ...

Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...

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 ...