Host Institution: TissueGnostics
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Hypothesis: Pancreatic islands, colon tumours and vascular endothelial cells can be automatically segmented by image cytometry.
Objectives: Automated image cytometry enables identification and quantitative measurement of cell and tissue characteristics (cell number & size, tissue area, cell-cell distances), cellular/sub-cellular localization and quantitative in situ analysis of protein expression in the natural tissue context.
ESRTG will 1) Define (in collaboration with ESRMUW2, ESRUOXF, ESRUL and ESRCU) the cell and tissue structures as well as molecules of interest; and perform standardized sampling, staining and microscope-based processing of relevant tissue samples; 2) Develop and validate of In-Vitro Diagnostics (IVD)-compliant adaptive segmentation algorithms; 3) Apply the algorithms (with ESRMUW2, ESRUOXF, ESRUL and ESRCU) and integrate into the TissueFAXS/StrataQuest workflow.