177
Views
4
CrossRef citations to date
0
Altmetric
Articles

Optical mapping design for murine atrial electrophysiology

, , , , , & show all
Pages 368-376 | Received 13 Nov 2014, Accepted 05 Aug 2015, Published online: 15 Nov 2015
 

Abstract

Optical mapping is an important tool for assessment of cardiac electrophysiology. We demonstrate a system for quantification and automatic measurement of electrophysiological parameters in isolated cardiac tissue. The system makes use of voltage sensitive fluorescent dyes. These shift in wavelength in response to millivolt changes in potential across cell membranes located on the left atrium. Automated analysis of the pixel-wise measurements yields information on action potential durations and isochronal maps allowing for high throughput of data analysis. The algorithms that we propose reliably describe activation sequences and allow for quantification of conduction velocities.

Acknowledgements

We would like to thank the PSIBS Doctoral Training Centre for the funding of T.Y. Yu and the other members of the Fabritz–Kirchhof group. The Medical Imaging and Image Interpretation Group, University of Birmingham for their support and expertise regarding optics. The University of Birmingham, Centre of Cardiovascular Sciences Preliminary Research Grant to L. Fabritz.

Notes

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by British Heart Foundation; Engineering and Physical Sciences Research Council [EP/F50053X/1]; The European Network for Translational Research in Atrial Fibrillation.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.