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

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

Konstantina Georgoula, Daniel Sage, Paolo Annibale^*

^*Corresponding author for this work

School of Physics and Astronomy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Translational biophotonics
Subtitle of host publication	diagnostics and therapeutics III
Editors	Zhiwei Huang, Lothar D. Lilge
Place of Publication	Washington
Publisher	SPIE
Number of pages	3
ISBN (Electronic)	9781510664647
ISBN (Print)	9781510664630
DOIs	https://doi.org/10.1117/12.2687292
Publication status	Published - 11 Aug 2023
Event	European Conferences on Biomedical Optics 2023 - ICM – International Congress Center Messe (ICM), Munich, Germany Duration: 25 Jun 2023 → 29 Jun 2023

Publication series

Name	Proceedings of SPIE
Volume	12627
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	European Conferences on Biomedical Optics 2023
Abbreviated title	ECBO 2023
Country/Territory	Germany
City	Munich
Period	25/06/23 → 29/06/23

Keywords

T-tubules
Ridge detector
Directional analysis
Segmentation
Structural order

Access to Document

10.1117/12.2687292

Cite this

@inproceedings{047483852ee740cdad27163ab6c0683f,

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

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 = "T-tubules, Ridge detector, Directional analysis, Segmentation, Structural order",

author = "Konstantina Georgoula and Daniel Sage and Paolo Annibale",

note = "Funding: The project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through SFB 1470, subproject A01 (PA).; European Conferences on Biomedical Optics 2023, ECBO 2023 ; Conference date: 25-06-2023 Through 29-06-2023",

year = "2023",

month = aug,

day = "11",

doi = "10.1117/12.2687292",

language = "English",

isbn = "9781510664630",

series = "Proceedings of SPIE",

publisher = "SPIE",

editor = "Zhiwei Huang and Lilge, \{Lothar D.\}",

booktitle = "Translational biophotonics",

address = "United States",

}

Georgoula, K, Sage, D & Annibale, P 2023, Quantitative morphological analysis of the T-tubular network of ventricular cardiomyocytes using novel image processing tools. in Z Huang & LD Lilge (eds), Translational biophotonics: diagnostics and therapeutics III., 1262738, Proceedings of SPIE, vol. 12627, SPIE, Washington, European Conferences on Biomedical Optics 2023, Munich, Germany, 25/06/23. https://doi.org/10.1117/12.2687292

Quantitative morphological analysis of the T-tubular network of ventricular cardiomyocytes using novel image processing tools. / Georgoula, Konstantina; Sage, Daniel; Annibale, Paolo.
Translational biophotonics: diagnostics and therapeutics III. ed. / Zhiwei Huang; Lothar D. Lilge. Washington: SPIE, 2023. 1262738 (Proceedings of SPIE; Vol. 12627).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Quantitative morphological analysis of the T-tubular network of ventricular cardiomyocytes using novel image processing tools

AU - Georgoula, Konstantina

AU - Sage, Daniel

AU - Annibale, Paolo

N1 - Funding: The project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through SFB 1470, subproject A01 (PA).

PY - 2023/8/11

Y1 - 2023/8/11

N2 - 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.

AB - 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.

KW - T-tubules

KW - Ridge detector

KW - Directional analysis

KW - Segmentation

KW - Structural order

UR - https://www.scopus.com/pages/publications/85172201729

U2 - 10.1117/12.2687292

DO - 10.1117/12.2687292

M3 - Conference contribution

SN - 9781510664630

T3 - Proceedings of SPIE

BT - Translational biophotonics

A2 - Huang, Zhiwei

A2 - Lilge, Lothar D.

PB - SPIE

CY - Washington

T2 - European Conferences on Biomedical Optics 2023

Y2 - 25 June 2023 through 29 June 2023

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