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 ...

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

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.

Technological development is key to improving the way hematologic cancer is diagnosed and treated. With this vision, the Josep Carreras Leukemia Research Institute is committed to the creation and ...

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 ...

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

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 ...

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 ...