High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Christopher O&#8217;Shea; Andrew  P. Holmes; Ting  Y. Yu; James Winter; Simon  P. Wells; Beth  A. Parker; Dannie Fobian; Daniel  M. Johnson; Joao Correia; Paulus Kirchhof; Larissa Fabritz; Kashif Rajpoot; Davor Pavlovic

doi:10.3791/59663

Journal

/

Medicine

/

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

JoVE Journal
Medicine

This content is Free Access.

JoVE Journal Medicine

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

9,380 Views

•

07:36 min

•

June 04, 2019

DOI:

10.3791/59663-v

DOI:

10.3791/59663-v

•

07:36 min

June 04, 2019

•

9357 Views

Christopher O’Shea^1,2,3, Andrew P. Holmes^1,4, 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

Summary

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.