SNT335.RSJM.864 (Collection)

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Description:We aim to characterize the distribution and biological heterogeneity of senescent cells in different anatomical regions of the pancreas from donors of varying ages. Mapping cellular senescence and its associated secretory phenotype in healthy human pancreas requires generating multi-modal high throughput data. We generate digitized high-resolution, 0.23 µm per pixel, whole slide images of hematoxylin and eosin (H&E)-stained tissue sections from each of four regions (head superior, head inferior, middle, and tail) from whole pancreases collected from brain dead donors across adult lifespan. The H&E images allow annotation of anatomical structures in the tissue, for example, ducts, veins, arteries, and islets of Langerhans. We apply automated machine learning methods for processing the H&E images, tissue, and nuclear segmentation for morphology quantification. We use the whole slide images to select regions of interest in the tissue for profiling adjacent tissue sections with other assays.

Creation Time:2023-09-22 21:18:41.990000