Spatial transcriptomics is transforming how scientists see biology—literally—by mapping gene activity in its original location inside tissues. From decoding tumor architecture to charting entire ...

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 ...

Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...

Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context. In musculoskeletal ...

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.

Spatial transcriptomics (ST) has revolutionized biomedical research by enabling scientists to measure gene expression while ...

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 ...

Perturb-FISH aims to address both challenges. Because this technique harnesses imaging spatial transcriptomics (iST), it offers high resolution and scalability, as well as relatively low costs. To ...

This eBook cuts through the complexity of spatial techniques, featuring a series of inteveiws with pioneers in the field, and peer-reviewed research from the Taylor & Francis journal portfolio. This ...