Spatial transcriptomics offers a revolutionary approach to understanding the tumor microenvironment (TME) in solid tumors by preserving the spatial context of gene expression, which is crucial for ...
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.
Computational assessment identifies probe binding errors in a widely used commercial platform for spatial transcriptomics.
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 ...
Head and neck cancers display notable heterogeneity in their immune cell infiltrates, which reflect intricate spatial arrangements and dynamic networks of ...
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 ...
Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...
Morning Overview on MSN
Smell receptors in the nose form organized patterns, not the random arrangement scientists assumed
The inside of a mouse’s nose looks chaotic under a standard microscope: millions of sensory neurons packed into a thin, mucus ...
Spatial transcriptomics (ST) has revolutionized biomedical research by enabling scientists to measure gene expression while ...
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