High-throughput analysis of optical mapping data using Electromap

Research output: Contribution to journalArticle

External organisations

  • Institute of Microbiology and Infection, School of Biosciences, University of Birmingham, Birmingham, United Kingdom.
  • Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • School of Computer Science, University of Birmingham, Birmingham, United Kingdom.

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.

Details

Original languageEnglish
Article numbere59663
Number of pages10
JournalJournal of Visualized Experiments
Issue number148
Publication statusPublished - 4 Jun 2019

Keywords

  • Medicine, cardiac optical mapping, software, electrophysiology, arrythmia, fluorescent sensors, action potential, calcium