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JavaCyte, a novel open-source tool for automated quantification of key hallmarks of cardiac structural remodeling

Standard

JavaCyte, a novel open-source tool for automated quantification of key hallmarks of cardiac structural remodeling. / Winters, J; von Braunmuhl, M Edler; Zeemering, S; Gilbers, M; Brink, T Ten; Scaf, B; Guasch, E; Mont, L; Batlle, M; Sinner, M; Hatem, S; Mansour, M K; Fabritz, L; Sommerfeld, L C; Kirchhof, P; Isaacs, A; Stoll, M; Schotten, U; Verheule, S.

in: SCI REP-UK, Jahrgang 10, Nr. 1, 20074, 18.11.2020.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Winters, J, von Braunmuhl, ME, Zeemering, S, Gilbers, M, Brink, TT, Scaf, B, Guasch, E, Mont, L, Batlle, M, Sinner, M, Hatem, S, Mansour, MK, Fabritz, L, Sommerfeld, LC, Kirchhof, P, Isaacs, A, Stoll, M, Schotten, U & Verheule, S 2020, 'JavaCyte, a novel open-source tool for automated quantification of key hallmarks of cardiac structural remodeling', SCI REP-UK, Jg. 10, Nr. 1, 20074. https://doi.org/10.1038/s41598-020-76932-3

APA

Winters, J., von Braunmuhl, M. E., Zeemering, S., Gilbers, M., Brink, T. T., Scaf, B., Guasch, E., Mont, L., Batlle, M., Sinner, M., Hatem, S., Mansour, M. K., Fabritz, L., Sommerfeld, L. C., Kirchhof, P., Isaacs, A., Stoll, M., Schotten, U., & Verheule, S. (2020). JavaCyte, a novel open-source tool for automated quantification of key hallmarks of cardiac structural remodeling. SCI REP-UK, 10(1), [20074]. https://doi.org/10.1038/s41598-020-76932-3

Vancouver

Winters J, von Braunmuhl ME, Zeemering S, Gilbers M, Brink TT, Scaf B et al. JavaCyte, a novel open-source tool for automated quantification of key hallmarks of cardiac structural remodeling. SCI REP-UK. 2020 Nov 18;10(1). 20074. https://doi.org/10.1038/s41598-020-76932-3

Bibtex

@article{62660a721ea44078b2caf191e1c648bd,
title = "JavaCyte, a novel open-source tool for automated quantification of key hallmarks of cardiac structural remodeling",
abstract = "Many cardiac pathologies involve changes in tissue structure. Conventional analysis of structural features is extremely time-consuming and subject to observer bias. The possibility to determine spatial interrelations between these features is often not fully exploited. We developed a staining protocol and an ImageJ-based tool (JavaCyte) for automated histological analysis of cardiac structure, including quantification of cardiomyocyte size, overall and endomysial fibrosis, spatial patterns of endomysial fibrosis, fibroblast density, capillary density and capillary size. This automated analysis was compared to manual quantification in several well-characterized goat models of atrial fibrillation (AF). In addition, we tested inter-observer variability in atrial biopsies from the CATCH-ME consortium atrial tissue bank, with patients stratified by their cardiovascular risk profile for structural remodeling. We were able to reproduce previous manually derived histological findings in goat models for AF and AV block (AVB) using JavaCyte. Furthermore, strong correlation was found between manual and automated observations for myocyte count (r = 0.94, p < 0.001), myocyte diameter (r = 0.97, p < 0.001), endomysial fibrosis (r = 0.98, p < 0.001) and capillary count (r = 0.95, p < 0.001) in human biopsies. No significant variation between observers was observed (ICC = 0.89, p < 0.001). We developed and validated an open-source tool for high-throughput, automated histological analysis of cardiac tissue properties. JavaCyte was as accurate as manual measurements, with less inter-observer variability and faster throughput.",
keywords = "Aged, Algorithms, Animals, Atrial Fibrillation/physiopathology, Automation, Female, Goats, Heart Atria/chemistry, Humans, Male, Middle Aged",
author = "J Winters and {von Braunmuhl}, {M Edler} and S Zeemering and M Gilbers and Brink, {T Ten} and B Scaf and E Guasch and L Mont and M Batlle and M Sinner and S Hatem and Mansour, {M K} and L Fabritz and Sommerfeld, {L C} and P Kirchhof and A Isaacs and M Stoll and U Schotten and S Verheule",
year = "2020",
month = nov,
day = "18",
doi = "10.1038/s41598-020-76932-3",
language = "English",
volume = "10",
journal = "SCI REP-UK",
issn = "2045-2322",
publisher = "NATURE PUBLISHING GROUP",
number = "1",

}

RIS

TY - JOUR

T1 - JavaCyte, a novel open-source tool for automated quantification of key hallmarks of cardiac structural remodeling

AU - Winters, J

AU - von Braunmuhl, M Edler

AU - Zeemering, S

AU - Gilbers, M

AU - Brink, T Ten

AU - Scaf, B

AU - Guasch, E

AU - Mont, L

AU - Batlle, M

AU - Sinner, M

AU - Hatem, S

AU - Mansour, M K

AU - Fabritz, L

AU - Sommerfeld, L C

AU - Kirchhof, P

AU - Isaacs, A

AU - Stoll, M

AU - Schotten, U

AU - Verheule, S

PY - 2020/11/18

Y1 - 2020/11/18

N2 - Many cardiac pathologies involve changes in tissue structure. Conventional analysis of structural features is extremely time-consuming and subject to observer bias. The possibility to determine spatial interrelations between these features is often not fully exploited. We developed a staining protocol and an ImageJ-based tool (JavaCyte) for automated histological analysis of cardiac structure, including quantification of cardiomyocyte size, overall and endomysial fibrosis, spatial patterns of endomysial fibrosis, fibroblast density, capillary density and capillary size. This automated analysis was compared to manual quantification in several well-characterized goat models of atrial fibrillation (AF). In addition, we tested inter-observer variability in atrial biopsies from the CATCH-ME consortium atrial tissue bank, with patients stratified by their cardiovascular risk profile for structural remodeling. We were able to reproduce previous manually derived histological findings in goat models for AF and AV block (AVB) using JavaCyte. Furthermore, strong correlation was found between manual and automated observations for myocyte count (r = 0.94, p < 0.001), myocyte diameter (r = 0.97, p < 0.001), endomysial fibrosis (r = 0.98, p < 0.001) and capillary count (r = 0.95, p < 0.001) in human biopsies. No significant variation between observers was observed (ICC = 0.89, p < 0.001). We developed and validated an open-source tool for high-throughput, automated histological analysis of cardiac tissue properties. JavaCyte was as accurate as manual measurements, with less inter-observer variability and faster throughput.

AB - Many cardiac pathologies involve changes in tissue structure. Conventional analysis of structural features is extremely time-consuming and subject to observer bias. The possibility to determine spatial interrelations between these features is often not fully exploited. We developed a staining protocol and an ImageJ-based tool (JavaCyte) for automated histological analysis of cardiac structure, including quantification of cardiomyocyte size, overall and endomysial fibrosis, spatial patterns of endomysial fibrosis, fibroblast density, capillary density and capillary size. This automated analysis was compared to manual quantification in several well-characterized goat models of atrial fibrillation (AF). In addition, we tested inter-observer variability in atrial biopsies from the CATCH-ME consortium atrial tissue bank, with patients stratified by their cardiovascular risk profile for structural remodeling. We were able to reproduce previous manually derived histological findings in goat models for AF and AV block (AVB) using JavaCyte. Furthermore, strong correlation was found between manual and automated observations for myocyte count (r = 0.94, p < 0.001), myocyte diameter (r = 0.97, p < 0.001), endomysial fibrosis (r = 0.98, p < 0.001) and capillary count (r = 0.95, p < 0.001) in human biopsies. No significant variation between observers was observed (ICC = 0.89, p < 0.001). We developed and validated an open-source tool for high-throughput, automated histological analysis of cardiac tissue properties. JavaCyte was as accurate as manual measurements, with less inter-observer variability and faster throughput.

KW - Aged

KW - Algorithms

KW - Animals

KW - Atrial Fibrillation/physiopathology

KW - Automation

KW - Female

KW - Goats

KW - Heart Atria/chemistry

KW - Humans

KW - Male

KW - Middle Aged

U2 - 10.1038/s41598-020-76932-3

DO - 10.1038/s41598-020-76932-3

M3 - SCORING: Journal article

C2 - 33208780

VL - 10

JO - SCI REP-UK

JF - SCI REP-UK

SN - 2045-2322

IS - 1

M1 - 20074

ER -