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 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 ...
New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...
Before the development of efficient single-cell technologies such as single-cell RNA sequencing, researchers studied genes, gene expression and proteins in bulk. These methods report the molecular ...
The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
From startups to giants in pharma and tools, the use of spatial biology is growing in importance in drug discovery. LatchBio, a four-year-old San Francisco builder of software and data infrastructure ...
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