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

J. Winters; M. Edler von Braunmuhl; S. Zeemering; M. Gilbers; T. Ten Brink; B. Scaf; E. Guasch; L. Mont; M. Batlle; M. Sinner; S. Hatem; M. K. Mansour; L. Fabritz; L. C. Sommerfeld; P. Kirchhof; A. Isaacs; M. Stoll; U. Schotten; S. Verheule

doi:10.1038/s41598-020-76932-3

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

J. Winters, M. Edler von Braunmuhl, S. Zeemering, M. Gilbers, T. Ten Brink, B. Scaf, E. Guasch, L. Mont, M. Batlle, M. Sinner, S. Hatem, M. K. Mansour, L. Fabritz, L. C. Sommerfeld, P. Kirchhof, A. Isaacs, M. Stoll, U. Schotten, S. Verheule^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

6 Citations (Web of Science)

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

Original language	English
Article number	20074
Number of pages	15
Journal	Scientific Reports
Volume	10
Issue number	1
DOIs	https://doi.org/10.1038/s41598-020-76932-3
Publication status	Published - 18 Nov 2020

Keywords

CELL-SIZE
ATRIAL FIBROSIS
CONDUCTION
CONNECTIONS
INCREASES
RELEVANCE
BINDING
BLOCK

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10.1038/s41598-020-76932-3

Cite this

Winters, J., von Braunmuhl, M. E., Zeemering, S., Gilbers, M., Ten Brink, 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. Scientific Reports, 10(1), [20074]. https://doi.org/10.1038/s41598-020-76932-3

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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",

keywords = "CELL-SIZE, ATRIAL FIBROSIS, CONDUCTION, CONNECTIONS, INCREASES, RELEVANCE, BINDING, BLOCK",

author = "J. Winters and {von Braunmuhl}, {M. Edler} and S. Zeemering and M. Gilbers and {Ten Brink}, T. 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",

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Winters, J, von Braunmuhl, ME, Zeemering, S , Gilbers, M, Ten Brink, T, 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', Scientific Reports, vol. 10, no. 1, 20074. https://doi.org/10.1038/s41598-020-76932-3

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AU - Winters, J.

AU - von Braunmuhl, M. Edler

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AU - Gilbers, M.

AU - Ten Brink, T.

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.

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KW - CELL-SIZE

KW - ATRIAL FIBROSIS

KW - CONDUCTION

KW - CONNECTIONS

KW - INCREASES

KW - RELEVANCE

KW - BINDING

KW - BLOCK

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DO - 10.1038/s41598-020-76932-3

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JO - Scientific Reports

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SN - 2045-2322

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