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

School of Physics and Astronomy

Research output: Contribution to conference › Paper › peer-review

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
Pages	121
DOIs	https://doi.org/10.1117/12.2687292
Publication status	Published - 11 Aug 2023
Event	Translational Biophotonics: Diagnostics and Therapeutics - Munich, Germany Duration: 25 Jun 2023 → 30 Jun 2023

Conference

Conference	Translational Biophotonics: Diagnostics and Therapeutics
Period	25/06/23 → 30/06/23

Access to Document

10.1117/12.2687292

https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12627/2687292/Quantitative-morphological-analysis-of-the-T-tubular-network-of/10.1117/12.2687292.full

Cite this

@conference{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.",

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

year = "2023",

month = aug,

day = "11",

doi = "10.1117/12.2687292",

language = "English",

pages = "121",

note = "Translational Biophotonics: Diagnostics and Therapeutics ; Conference date: 25-06-2023 Through 30-06-2023",

}

TY - CONF

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

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.

U2 - 10.1117/12.2687292

DO - 10.1117/12.2687292

M3 - Paper

SP - 121

T2 - Translational Biophotonics: Diagnostics and Therapeutics

Y2 - 25 June 2023 through 30 June 2023

ER -

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

Abstract

Conference

Access to Document

Fingerprint

Cite this