Quantitative morphological analysis of the T-tubular network of  ventricular cardiomyocytes using novel image processing tools

Konstantina Georgoula; Daniel Sage; Paolo Annibale

doi:10.1117/12.2687292

11 August 2023 Quantitative morphological analysis of the T-tubular network of ventricular cardiomyocytes using novel image processing tools

Konstantina Georgoula, Daniel Sage, Paolo Annibale

Author Affiliations +

Proceedings Volume 12627, Translational Biophotonics: Diagnostics and Therapeutics III; 1262738 (2023) https://doi.org/10.1117/12.2687292
Event: European Conferences on Biomedical Optics, 2023, Munich, Germany

Abstract

We propose an image acquisition and processing pipeline to quantitatively characterize the morphology of the transverse tubular network of left ventricular cardiomyocytes. The approach will be an asset in quantifying the degree of structural order of this network in the context of pathophysiological modifications.

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Konstantina Georgoula, Daniel Sage, and Paolo Annibale "Quantitative morphological analysis of the T-tubular network of ventricular cardiomyocytes using novel image processing tools", Proc. SPIE 12627, Translational Biophotonics: Diagnostics and Therapeutics III, 1262738 (11 August 2023); https://doi.org/10.1117/12.2687292

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