Case Western Reserve University biomedical researchers develop first open-source, quality-control review tool for fast-growing digital pathology field There’s a low-tech problem troubling the ...
In a recent study published in Nature Communications, researchers from NYU Langone Health's Perlmutter Cancer Center and the University of Glasgow have developed a cutting-edge AI program capable of ...
Traditional histopathology, crucial for disease diagnosis, relies on chemically staining tissue samples to highlight cellular structures for microscopic examination by pathologists. This ...
Translational Pathology provides high-plex immunohistochemistry staining (PhenoCycler, aka CODEX), IHC-related image analysis, and expertise services and support in both collaborative and ...
Hosted on MSN
A digital second opinion: Autonomous detection of AI hallucinations in digital pathology
Tissue staining is a cornerstone of medical diagnostics, used to highlight cellular structures and render tissue features visible under an optical microscope—critical for identifying diseases such as ...
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.
Researchers at Washington University in St. Louis have developed a new computational approach to removing movement in images of expanding and contracting heart cells and tissues. By computationally ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results