Jointly hosted with the Core for Computational Biomedicine (CCB)
Spatial ‘omics has emerged as a breakthrough technology for understanding the types and states of cells in the intact environment of tissues and tumors. High-plex immunofluorescence microscopy is particularly effective because it builds on two centuries of histopathology and tissue biology, exploits the latest advances in computational microscopy, and links changes in protein levels to changes in morphology at the subcellular level. This talk will describe the overall approach and specific tools used in the Laboratory of Systems Pharmacology covering the entire lifecycle of high-plex whole-slide imaging: 1) Extract quantitative single-cell data from extremely large whole-slide tissue images via an automated pipeline (MCMICRO); 2) Support visual analytics tools directed by human experts to interpret nuanced tissue features and subcellular morphologies beyond the current capability of computational methods (Minerva Analysis); and 3) Enable effective public release of integrated datasets by presenting images and analysis results together in a novel web-based storytelling interface (Minerva Story).
Director of Software Engineering
Harvard Medical School
Laboratory of Systems Pharmacology
Jeremy Muhlich, Principal Associate, is the Director of Software Engineering at the Harvard Medical School Laboratory of Systems Pharmacology where he supervises a small team that builds, maintains, and teaches computational tools to support the collection, processing, visualization, and public release of data...
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