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Quantifying Propagation Velocity from Engineered Cardiac Tissues with High-Speed Fluorescence Microscopy and
Andrew P Petersen1, Megan L McCain2,3
1Laboratory for Living Systems Engineering, Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
Methods in Molecular Biology (Clifton, N.J.)
|May 26, 2022
Summary
This study presents a method for analyzing calcium wave propagation velocity in engineered cardiac tissues to predict arrhythmias. The techniques enable patient-specific analysis for new therapeutic strategies.
Area of Science:
- Cardiovascular Research
- Biomedical Engineering
- Arrhythmia Research
Background:
- Arrhythmias can result from inherited/acquired heart diseases or drug interactions.
- Predicting arrhythmogenic events requires efficient quantification of propagation velocity in engineered cardiac tissues.
- Current methods are crucial for developing new therapeutic strategies.
Purpose of the Study:
- To describe a method for collecting and analyzing videos of calcium wave propagation in engineered cardiac tissues.
- To provide instructions for using a software package to calculate propagation velocity.
- To enable patient-specific analysis of cardiac tissue properties influencing arrhythmias.
Main Methods:
- Utilizing high-speed cameras on inverted fluorescence microscopes to record calcium waves.
- Employing a software package for video analysis and propagation velocity calculation.
- Adapting techniques for various voltage/calcium-sensitive fluorescent dyes and sensors.
Main Results:
- Established a protocol for video collection of calcium transients in engineered cardiac tissues.
- Developed and provided software for accurate propagation velocity measurement.
- Demonstrated compatibility with diverse fluorescent indicators and potential for human iPSC-cardiomyocyte application.
Conclusions:
- The described video analysis techniques offer a valuable tool for studying cardiac tissue electrophysiology.
- These methods facilitate the prediction of arrhythmias and the discovery of novel therapeutic interventions.
- The approach is adaptable for patient-specific analyses, including those derived from human-induced pluripotent stem cell-cardiomyocytes.

