2015Computer Methods in Biomechanics and Biomedical Engineering Imaging & VisualizationOpen access

Optical mapping design for murine atrial electrophysiology

Ting Yu, Hamid Dehghani, Keith L. Brain, Fahima Syeda, Andrew P. Holmes, Paulus Kirchhof, Larissa Fabritz

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Abstract

Optical mapping is an important tool for assessment of cardiac electrophysiology. We demonstrate a system for quantification and automatic measurement of electrophysiological parameters in isolated cardiac tissue. The system makes use of voltage sensitive fluorescent dyes. These shift in wavelength in response to millivolt changes in potential across cell membranes located on the left atrium. Automated analysis of the pixel-wise measurements yields information on action potential durations and isochronal maps allowing for high throughput of data analysis. The algorithms that we propose reliably describe activation sequences and allow for quantification of conduction velocities.

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What this paper is about

Optical mapping is an important tool for assessment of cardiac electrophysiology. We demonstrate a system for quantification and automatic measurement of electrophysiological parameters in isolated cardiac tissue. The system makes use of voltage sensitive fluorescent dyes. These shift in wavelength in response to millivolt changes in potential across cell membranes located on the left atrium. Automated analysis of the pixel-wise measurements yields information on action potential durations and isochronal maps allowing for high throughput of data analysis. The algorithms that we propose reliably describe activation sequences and allow for quantification of conduction velocities.

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Available abstract

Optical mapping is an important tool for assessment of cardiac electrophysiology. We demonstrate a system for quantification and automatic measurement of electrophysiological parameters in isolated cardiac tissue. The system makes use of voltage sensitive fluorescent dyes. These shift in wavelength in response to millivolt changes in potential across cell membranes located on the left atrium. Automated analysis of the pixel-wise measurements yields information on action potential durations and isochronal maps allowing for high throughput of data analysis. The algorithms that we propose reliably describe activation sequences and allow for quantification of conduction velocities.

Key concepts: Optical mapping, Electrophysiology, Cardiac electrophysiology, Pixel, Biomedical engineering, Voltage-sensitive dye, Atrium (architecture), Membrane potential

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