Musclemotion: A versatile open software tool to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo

Luca Sala, Berend J. Van Meer, Leon G.J. Tertoolen, Jeroen Bakkers, Milena Bellin, Richard P. Davis, Chris Denning, Michel A.E. Dieben, Thomas Eschenhagen, Elisa Giacomelli, Catarina Grandela, Arne Hansen, Eduard R. Holman, Monique R.M. Jongbloed, Sarah M. Kamel, Charlotte D. Koopman, Quentin Lachaud, Ingra Mannhardt, Mervyn P.H. Mol, Diogo Mosqueira & 7 others Valeria V. Orlova, Robert Passier, Marcelo Catarino Ribeiro, Umber Saleem, Godfrey L. Smith, Francis L. Burton, Christine L. Mummery

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Abstract

Rationale: There are several methods to measure cardiomyocyte (CM) and muscle contraction but these require customized hardware, expensive apparatus and advanced informatics or can only be used in single experimental models. Consequently, data and techniques have been difficult to reproduce across models and laboratories, analysis is time consuming and only specialist researchers can quantify data. Objective: Here we describe and validate an automated, open source software tool (MUSCLEMOTION) adaptable for use with standard laboratory- and clinical imaging equipment that enables quantitative analysis of normal cardiac contraction, disease phenotypes and pharmacological responses. Methods and Results: MUSCLEMOTION allowed rapid and easy measurement of movement from high-speed movies in: (i) 1-dimensional in vitro models such as isolated adult and human pluripotent stem cell-derived CMs (hPSC-CMs); (ii) 2-dimensional in vitro models, such as beating CM monolayers or small clusters of hPSC-CMs; (iii) 3-dimensional multicellular in vitro or in vivo contractile tissues such as cardiac "organoids", engineered heart tissues (EHT), zebrafish- and human hearts. MUSCLEMOTION was effective under different recording conditions (bright field microscopy with simultaneous patch clamp recording, phase contrast microscopy and traction force microscopy). Outcomes were virtually identical to the current gold standards for contraction measurement such as optical flow, pole deflection, edge-detection systems or manual analyses. Finally, we used the algorithm to quantify contraction in in vitro and in vivo arrhythmia models and to measure pharmacological responses. Conclusions: Using a single open source method for processing video recordings, we obtained reliable pharmacological data and measures of cardiac disease phenotype in experimental cell-, animal- and human models.
Original languageEnglish
Pages (from-to)e5-e16
JournalCirculation research
Volume122
Issue number3
DOIs
Publication statusPublished - 2 Feb 2018

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Muscle Contraction
Cardiac Myocytes
Myocardium
Software
Pluripotent Stem Cells
Pharmacology
Heart Diseases
Organoids
Phenotype
Phase-Contrast Microscopy
Video Recording
Informatics
Atomic Force Microscopy
Traction
Zebrafish
Motion Pictures
Cardiac Arrhythmias
Microscopy
Theoretical Models
Animal Models

Keywords

  • Arrhythmias
  • Cardiac humans pluripotent stem cells software zebrafish

Cite this

Sala, Luca ; Van Meer, Berend J. ; Tertoolen, Leon G.J. ; Bakkers, Jeroen ; Bellin, Milena ; Davis, Richard P. ; Denning, Chris ; Dieben, Michel A.E. ; Eschenhagen, Thomas ; Giacomelli, Elisa ; Grandela, Catarina ; Hansen, Arne ; Holman, Eduard R. ; Jongbloed, Monique R.M. ; Kamel, Sarah M. ; Koopman, Charlotte D. ; Lachaud, Quentin ; Mannhardt, Ingra ; Mol, Mervyn P.H. ; Mosqueira, Diogo ; Orlova, Valeria V. ; Passier, Robert ; Catarino Ribeiro, Marcelo ; Saleem, Umber ; Smith, Godfrey L. ; Burton, Francis L. ; Mummery, Christine L. / Musclemotion: A versatile open software tool to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo. In: Circulation research. 2018 ; Vol. 122, No. 3. pp. e5-e16.
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author = "Luca Sala and {Van Meer}, {Berend J.} and Tertoolen, {Leon G.J.} and Jeroen Bakkers and Milena Bellin and Davis, {Richard P.} and Chris Denning and Dieben, {Michel A.E.} and Thomas Eschenhagen and Elisa Giacomelli and Catarina Grandela and Arne Hansen and Holman, {Eduard R.} and Jongbloed, {Monique R.M.} and Kamel, {Sarah M.} and Koopman, {Charlotte D.} and Quentin Lachaud and Ingra Mannhardt and Mol, {Mervyn P.H.} and Diogo Mosqueira and Orlova, {Valeria V.} and Robert Passier and {Catarino Ribeiro}, Marcelo and Umber Saleem and Smith, {Godfrey L.} and Burton, {Francis L.} and Mummery, {Christine L.}",
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publisher = "Lippincott Williams and Wilkins",
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Sala, L, Van Meer, BJ, Tertoolen, LGJ, Bakkers, J, Bellin, M, Davis, RP, Denning, C, Dieben, MAE, Eschenhagen, T, Giacomelli, E, Grandela, C, Hansen, A, Holman, ER, Jongbloed, MRM, Kamel, SM, Koopman, CD, Lachaud, Q, Mannhardt, I, Mol, MPH, Mosqueira, D, Orlova, VV, Passier, R, Catarino Ribeiro, M, Saleem, U, Smith, GL, Burton, FL & Mummery, CL 2018, 'Musclemotion: A versatile open software tool to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo' Circulation research, vol. 122, no. 3, pp. e5-e16. https://doi.org/10.1161/CIRCRESAHA.117.312067

Musclemotion: A versatile open software tool to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo. / Sala, Luca; Van Meer, Berend J.; Tertoolen, Leon G.J.; Bakkers, Jeroen; Bellin, Milena; Davis, Richard P.; Denning, Chris; Dieben, Michel A.E.; Eschenhagen, Thomas; Giacomelli, Elisa; Grandela, Catarina; Hansen, Arne; Holman, Eduard R.; Jongbloed, Monique R.M.; Kamel, Sarah M.; Koopman, Charlotte D.; Lachaud, Quentin; Mannhardt, Ingra; Mol, Mervyn P.H.; Mosqueira, Diogo; Orlova, Valeria V.; Passier, Robert; Catarino Ribeiro, Marcelo ; Saleem, Umber; Smith, Godfrey L.; Burton, Francis L.; Mummery, Christine L. (Corresponding Author).

In: Circulation research, Vol. 122, No. 3, 02.02.2018, p. e5-e16.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Musclemotion: A versatile open software tool to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo

AU - Sala, Luca

AU - Van Meer, Berend J.

AU - Tertoolen, Leon G.J.

AU - Bakkers, Jeroen

AU - Bellin, Milena

AU - Davis, Richard P.

AU - Denning, Chris

AU - Dieben, Michel A.E.

AU - Eschenhagen, Thomas

AU - Giacomelli, Elisa

AU - Grandela, Catarina

AU - Hansen, Arne

AU - Holman, Eduard R.

AU - Jongbloed, Monique R.M.

AU - Kamel, Sarah M.

AU - Koopman, Charlotte D.

AU - Lachaud, Quentin

AU - Mannhardt, Ingra

AU - Mol, Mervyn P.H.

AU - Mosqueira, Diogo

AU - Orlova, Valeria V.

AU - Passier, Robert

AU - Catarino Ribeiro, Marcelo

AU - Saleem, Umber

AU - Smith, Godfrey L.

AU - Burton, Francis L.

AU - Mummery, Christine L.

PY - 2018/2/2

Y1 - 2018/2/2

N2 - Rationale: There are several methods to measure cardiomyocyte (CM) and muscle contraction but these require customized hardware, expensive apparatus and advanced informatics or can only be used in single experimental models. Consequently, data and techniques have been difficult to reproduce across models and laboratories, analysis is time consuming and only specialist researchers can quantify data. Objective: Here we describe and validate an automated, open source software tool (MUSCLEMOTION) adaptable for use with standard laboratory- and clinical imaging equipment that enables quantitative analysis of normal cardiac contraction, disease phenotypes and pharmacological responses. Methods and Results: MUSCLEMOTION allowed rapid and easy measurement of movement from high-speed movies in: (i) 1-dimensional in vitro models such as isolated adult and human pluripotent stem cell-derived CMs (hPSC-CMs); (ii) 2-dimensional in vitro models, such as beating CM monolayers or small clusters of hPSC-CMs; (iii) 3-dimensional multicellular in vitro or in vivo contractile tissues such as cardiac "organoids", engineered heart tissues (EHT), zebrafish- and human hearts. MUSCLEMOTION was effective under different recording conditions (bright field microscopy with simultaneous patch clamp recording, phase contrast microscopy and traction force microscopy). Outcomes were virtually identical to the current gold standards for contraction measurement such as optical flow, pole deflection, edge-detection systems or manual analyses. Finally, we used the algorithm to quantify contraction in in vitro and in vivo arrhythmia models and to measure pharmacological responses. Conclusions: Using a single open source method for processing video recordings, we obtained reliable pharmacological data and measures of cardiac disease phenotype in experimental cell-, animal- and human models.

AB - Rationale: There are several methods to measure cardiomyocyte (CM) and muscle contraction but these require customized hardware, expensive apparatus and advanced informatics or can only be used in single experimental models. Consequently, data and techniques have been difficult to reproduce across models and laboratories, analysis is time consuming and only specialist researchers can quantify data. Objective: Here we describe and validate an automated, open source software tool (MUSCLEMOTION) adaptable for use with standard laboratory- and clinical imaging equipment that enables quantitative analysis of normal cardiac contraction, disease phenotypes and pharmacological responses. Methods and Results: MUSCLEMOTION allowed rapid and easy measurement of movement from high-speed movies in: (i) 1-dimensional in vitro models such as isolated adult and human pluripotent stem cell-derived CMs (hPSC-CMs); (ii) 2-dimensional in vitro models, such as beating CM monolayers or small clusters of hPSC-CMs; (iii) 3-dimensional multicellular in vitro or in vivo contractile tissues such as cardiac "organoids", engineered heart tissues (EHT), zebrafish- and human hearts. MUSCLEMOTION was effective under different recording conditions (bright field microscopy with simultaneous patch clamp recording, phase contrast microscopy and traction force microscopy). Outcomes were virtually identical to the current gold standards for contraction measurement such as optical flow, pole deflection, edge-detection systems or manual analyses. Finally, we used the algorithm to quantify contraction in in vitro and in vivo arrhythmia models and to measure pharmacological responses. Conclusions: Using a single open source method for processing video recordings, we obtained reliable pharmacological data and measures of cardiac disease phenotype in experimental cell-, animal- and human models.

KW - Arrhythmias

KW - Cardiac humans pluripotent stem cells software zebrafish

U2 - 10.1161/CIRCRESAHA.117.312067

DO - 10.1161/CIRCRESAHA.117.312067

M3 - Article

VL - 122

SP - e5-e16

JO - Circulation research

JF - Circulation research

SN - 0009-7330

IS - 3

ER -