High-throughput analysis of optical mapping data using Electromap

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@article{b2c6ab0fa40c404ab7e221f9b5b55253,
title = "High-throughput analysis of optical mapping data using Electromap",
abstract = "Optical mapping is an established technique for high spatio-temporal resolution study of cardiac electrophysiology in multi-cellular preparations. Here we present, in a step-by-step guide, the use of ElectroMap for analysis, quantification, and mapping of high-resolution voltage and calcium datasets acquired by optical mapping. ElectroMap analysis options cover a wide variety of key electrophysiological parameters, and the graphical user interface allows straightforward modification of pre-processing and parameter definitions, making ElectroMap applicable to a wide range of experimental models. We show how built-in pacing frequency detection and signal segmentation allows high-throughput analysis of entire experimental recordings, acute responses, and single beat-to-beat variability. Additionally, ElectroMap incorporates automated multi-beat averaging to improve signal quality of noisy datasets, and here we demonstrate how this feature can help elucidate electrophysiological changes that might otherwise go undetected when using single beat analysis. Custom modules are included within the software for detailed investigation of conduction, single file analysis, and alternans, as demonstrated here. This software platform can be used to enable and accelerate the processing, analysis, and mapping of complex cardiac electrophysiology.",
keywords = "Medicine, cardiac optical mapping, software, electrophysiology, arrythmia, fluorescent sensors, action potential, calcium",
author = "Christopher O'Shea and Holmes, {Andrew P} and Yu, {Ting Y} and James Winter and Wells, {Simon P} and Parker, {Beth A} and Dannie Fobian and Johnson, {Daniel M} and Joao Correia and Paulus Kirchhof and Larissa Fabritz and Kashif Rajpoot and Davor Pavlovic",
year = "2019",
month = jun,
day = "4",
doi = "10.3791/59663",
language = "English",
journal = "Journal of Visualized Experiments ",
issn = "1940-087X",
publisher = "Journal of Visualized Experiments",
number = "148",

}

RIS

TY - JOUR

T1 - High-throughput analysis of optical mapping data using Electromap

AU - O'Shea, Christopher

AU - Holmes, Andrew P

AU - Yu, Ting Y

AU - Winter, James

AU - Wells, Simon P

AU - Parker, Beth A

AU - Fobian, Dannie

AU - Johnson, Daniel M

AU - Correia, Joao

AU - Kirchhof, Paulus

AU - Fabritz, Larissa

AU - Rajpoot, Kashif

AU - Pavlovic, Davor

PY - 2019/6/4

Y1 - 2019/6/4

N2 - Optical mapping is an established technique for high spatio-temporal resolution study of cardiac electrophysiology in multi-cellular preparations. Here we present, in a step-by-step guide, the use of ElectroMap for analysis, quantification, and mapping of high-resolution voltage and calcium datasets acquired by optical mapping. ElectroMap analysis options cover a wide variety of key electrophysiological parameters, and the graphical user interface allows straightforward modification of pre-processing and parameter definitions, making ElectroMap applicable to a wide range of experimental models. We show how built-in pacing frequency detection and signal segmentation allows high-throughput analysis of entire experimental recordings, acute responses, and single beat-to-beat variability. Additionally, ElectroMap incorporates automated multi-beat averaging to improve signal quality of noisy datasets, and here we demonstrate how this feature can help elucidate electrophysiological changes that might otherwise go undetected when using single beat analysis. Custom modules are included within the software for detailed investigation of conduction, single file analysis, and alternans, as demonstrated here. This software platform can be used to enable and accelerate the processing, analysis, and mapping of complex cardiac electrophysiology.

AB - Optical mapping is an established technique for high spatio-temporal resolution study of cardiac electrophysiology in multi-cellular preparations. Here we present, in a step-by-step guide, the use of ElectroMap for analysis, quantification, and mapping of high-resolution voltage and calcium datasets acquired by optical mapping. ElectroMap analysis options cover a wide variety of key electrophysiological parameters, and the graphical user interface allows straightforward modification of pre-processing and parameter definitions, making ElectroMap applicable to a wide range of experimental models. We show how built-in pacing frequency detection and signal segmentation allows high-throughput analysis of entire experimental recordings, acute responses, and single beat-to-beat variability. Additionally, ElectroMap incorporates automated multi-beat averaging to improve signal quality of noisy datasets, and here we demonstrate how this feature can help elucidate electrophysiological changes that might otherwise go undetected when using single beat analysis. Custom modules are included within the software for detailed investigation of conduction, single file analysis, and alternans, as demonstrated here. This software platform can be used to enable and accelerate the processing, analysis, and mapping of complex cardiac electrophysiology.

KW - Medicine

KW - cardiac optical mapping

KW - software

KW - electrophysiology

KW - arrythmia

KW - fluorescent sensors

KW - action potential

KW - calcium

UR - http://www.scopus.com/inward/record.url?scp=85068577689&partnerID=8YFLogxK

U2 - 10.3791/59663

DO - 10.3791/59663

M3 - Article

C2 - 31233017

JO - Journal of Visualized Experiments

JF - Journal of Visualized Experiments

SN - 1940-087X

IS - 148

M1 - e59663

ER -