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 ...
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Portrai presents 11 AI spatial transcriptomics posters at AACR
SEOUL, South Korea, April 8, 2026 /PRNewswire/ -- Portrai, Inc. today announced it will present 11 posters highlighting its artificial intelligence and spatial transcriptomics capabilities at the ...
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.
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 ...
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 ...
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 ...
As the “Method of the Year 2024”, spatial proteomics (SP) enables in situ characterization of protein localization, abundance ...
Perturb-FISH aims to address both challenges. Because this technique harnesses imaging spatial transcriptomics (iST), it offers high resolution and scalability, as ...
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 ...
Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...
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