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

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Item Type:	Conference or Workshop Item
Title:	Quantitative morphological analysis of the T-tubular network of ventricular cardiomyocytes using novel image processing tools
Creators Name:	Georgoula, K., Sage, D. and Annibale, P.
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.
Keywords:	Image Processing, Image Segmentation, Curium, Confocal Microscopy, Morphological Analysis, Detection and Tracking Algorithms, Histograms, Image Enhancement, Tunable Filters
Source:	Proceedings of SPIE
Title of Book:	Translational Biophotonics: Diagnostics and Therapeutics III
ISSN:	0277-786X
ISBN:	978-151066463-0
Publisher:	SPIE
Volume:	12627
Page Range:	1262738
Date:	11 August 2023
Official Publication:	https://doi.org/10.1117/12.2687292

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