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

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.

一篇发表在2025年《Nature Genetics》上的重磅论文，题目为“Single-cell and spatial transcriptomics reveal mechanisms of radioresistance and immune ...

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 ...

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 ...

Breakthrough research details how distinct tissue niches and cell communication contribute to chronic active lesions in MS. Study: Cell type mapping reveals tissue niches and interactions in ...

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

Key opportunities in the Global Spatial Genomics and Transcriptomics Market include technological advancements in spatial analysis, increased research funding, and integration of AI for data ...

New AI-powered spatial transcriptomics tools are transforming cancer research by revealing how cells are organized and interact within tumors. These methods combine histology images, gene expression ...