A framework for analyzing confocal images of transversal tubules in cardiomyocytes

Authors:
Eleonora Savio;Joshua I. Goldhaber;John H. B. Bridge;Frank B. Sachse
Affiliations:
Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, UT;David Geffen School of Medicine, University of California, Los Angeles, CA;Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, UT;Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, UT
Venue:
FIMH'07 Proceedings of the 4th international conference on Functional imaging and modeling of the heart
Year:
2007

Citing 2
Cited 1

Digital Image Processing

Digital Image Processing
Computational Cardiology: Modeling Of Anatomy, Electrophysiology, And Mechanics (LECTURE NOTES IN COMPUTER SCIENCE)

Computational Cardiology: Modeling Of Anatomy, Electrophysiology, And Mechanics (LECTURE NOTES IN COMPUTER SCIENCE)

Towards high resolution computational models of the cardiac conduction system: a pipeline for characterization of Purkinje-ventricular-junctions

FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart

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Abstract

We introduce a framework to characterize and visualize the transverse tubular system of cardiac myocytes imaged with confocal microscopy. We imaged rabbit ventricular cells and cell segments with fluorescein linked to dextran. The image datasets were deconvolved with the Richardson-Lucy algorithm using the point spread function extracted from images of fluorescent beads. The transverse tubular system (t-system) was segmented with the methods of digital image processing. We reconstructed single transverse tubules and quantitatively described these in terms of length, cross-sectional area, ellipticity and orientation. These results should yield geometric markers for studies of protein distribution and provide insights into the function of the t-system.