High-Throughput Analysis of Optical Mapping Data Using ElectroMap

作者： Christopher O’Shea1,2,3, Andrew P. Holmes1,4, Ting Y. Yu1, James Winter1, Simon P. Wells1, Beth A. Parker1, Dannie Fobian1, Daniel M. Johnson1, Joao Correia5, Paulus Kirchhof1, Larissa Fabritz1, Kashif Rajpoot3, Davor Pavlovic1 1Institute of Cardiovascular Sciences,University of Birmingham, 2EPSRC Centre for Doctoral Training in Physical Sciences for Health, School of Chemistry,University of Birmingham, 3School of Computer Science,University of Birmingham, 4Institute of Clinical Sciences,University of Birmingham, 5Institute of Microbiology and Infection, School of Biosciences,University of Birmingham

简介：

Overview

This protocol describes the setup and use of ElectroMap, a MATLAB-based open-source software platform for analysis of cardiac optical mapping data. ElectroMap provides a versatile high-throughput tool for analysis of optical mapping voltage and calcium datasets across a wide range of cardiac experimental models.

Key Study Components

Area of Science

• Cardiac electrophysiology
• Optical mapping
• Software development

Background

• Multi-array and optical mapping technologies are increasingly used in cardiac research.
• There is a need for robust, high-throughput open-source software for electrophysiology data analysis.
• ElectroMap incorporates both new and established methods for analyzing cardiac mapping data.
• The software supports data from various species and acquisition modalities.

Purpose of Study

• To provide a user-friendly tool for analyzing cardiac optical mapping data.
• To facilitate the measurement of action potential parameters and conduction analysis.
• To improve the signal-to-noise ratio in electrophysiological data analysis.

Methods Used

• Download and set up ElectroMap from the GitHub repository.
• Load and process optical mapping images using MATLAB.
• Apply automatic and manual thresholding for image analysis.
• Perform segmentation and produce maps for action potential analysis.

Main Results

• ElectroMap successfully analyzes data from different optical mapping setups.
• Action potential duration and conduction velocity can be quantified effectively.
• Ensemble averaging improves the signal-to-noise ratio in data analysis.
• Custom segmentation and detailed pixel analysis are supported.

Conclusions

• ElectroMap is a valuable tool for researchers in cardiac electrophysiology.
• The software enhances the analysis of complex optical mapping datasets.
• Its open-source nature promotes accessibility and collaboration in research.

Frequently Asked Questions