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.
Highlights
Optical mapping utilizes fluorescent reporters of voltage and/or calcium concentration to interrogate cardiac electrophysiology (EP) and calcium handling in multicellular preparations, with greater spatial resolution than achievable with traditional techniques[1,2,3]
It is important that this software is open-source, easy to use, flexible to parameter adjustment, applicable to a range of experimental models with distinct EP properties and crucially allows straightforward and tunable quantification of the range of cardiac parameters that can be studied using optical mapping
ElectroMap was designed in MATLAB 2017a, software has been tested for use in all subsequent releases of MATLAB
Summary
Optical mapping utilizes fluorescent reporters of voltage and/or calcium concentration to interrogate cardiac electrophysiology (EP) and calcium handling in multicellular preparations, with greater spatial resolution than achievable with traditional techniques[1,2,3]. Once data has been processed, several non-consistent techniques and definitions can be applied to measure parameters of interest, with the most applicable techniques varying depending on experimental setup, model and question[2,10,13]. These limitations prevent further uptake of the technology and hinder truly objective analysis. It is important that this software is open-source, easy to use, flexible to parameter adjustment, applicable to a range of experimental models with distinct EP properties and crucially allows straightforward and tunable quantification of the range of cardiac parameters that can be studied using optical mapping. We focus on the use of ElectroMap to quantify standard EP and calcium handling variables and demonstrate the use of standalone conduction velocity, single file analysis and alternans modules
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