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 ...

Challenges and Prospects. Challenges and prospects faced by spatial transcriptomics itself and its application to the musculoskeletal system. AI Artificial intelligence, FFPE Formalin fixed and ...

The 10X Genomics Xenium Analyzer will support true single cell spatial transcriptomics on fresh frozen or fixed tissue samples. You can characterize 100s to 1000s of RNAs in cells and tissues using ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first large-scale foundation model that integrates single-cell analysis with spatial ...

We combine advanced technologies such as spatial transcriptomics, multiplexed imaging, and in situ sequencing to map cellular components in their native tissue context. Obtain high-resolution data ...

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 ...

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 ...

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.