Artificial Intelligence Based Framework to Quantify the Cardiomyocyte Structural Integrity in Heart Slices.

Journal: Cardiovascular engineering and technology
Published Date: Aug 16, 2021

Abstract

PURPOSE: Drug induced cardiac toxicity is a disruption of the functionality of cardiomyocytes which is highly correlated to the organization of the subcellular structures. We can analyze cellular structures by utilizing microscopy imaging data. However, conventional image analysis methods might miss structural deteriorations that are difficult to perceive. Here, we propose an image-based deep learning pipeline for the automated quantification of drug induced structural deteriorations using a 3D heart slice culture model.

Authors

  • Hisham Abdeltawab
    Bioengineering Department, University of Louisville, Louisville, KY, USA.
  • Fahmi Khalifa
    Bioengineering Department, University of Louisville, Louisville, KY, USA.
  • Kamal Hammouda
    BioImaging Laboratory, Department of Bioengineering, University of Louisville, Louisville, KY, USA.
  • Jessica M Miller
    Division of Cardiovascular Medicine, Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Moustafa M Meki
    Division of Cardiovascular Medicine, Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Qinghui Ou
    Division of Cardiovascular Medicine, Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Ayman El-Baz
    Bioengineering Department, The University of Louisville, Louisville, KY, USA.
  • Tamer M A Mohamed
    Division of Cardiovascular Medicine, Department of Medicine, University of Louisville, Louisville, KY, USA. Tamer.mohamed@louisville.edu.

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