Resources / Continuous AI-supported surveillance of IHC assay performance for sustainable staining quality
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Continuous AI-supported surveillance of IHC assay performance for sustainable staining quality
Originally presented at DGP 2024
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Description

With discussions ongoing, that predictive IHC assays in the diagnostic lab need more standardization, the team from the Pathology Department of the University Hospital in Augsburg implemented a workflow using Qualitopix to continuously monitor staining parameter, capturing early deviations to allow immediate action.

Authors and institutions

J. Raffler1,2, C. Herbst3, J. Warkotsch3, C. Wengenmayr1, B. Märkl2,3,4, T. Schaller3, R. Huss1,2

  1. Institut für Digitale Medizin, Universitätsklinikum Augsburg, Augsburg
  2. Institut für Pathologie und Molekulare Diagnostik, Medizinische Fakultät, Universität Augsburg, Augsburg
  3. Bayerisches Zentrum für Krebsforschung, Standort Augsburg, Augsburg
  4. ComprehensiveCancer Center Augsburg, Universitätsklinikum Augsburg, Augsburg
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