High resolution optical mapping of cardiac electrophysiology in pre-clinical models

Christopher O’Shea*, James Winter, S. Nashitha Kabir, Molly O’Reilly, Simon P. Wells, Olivia Baines, Laura C. Sommerfeld, Joao Correia, Ming Lei, Paulus Kirchhof, Andrew P. Holmes, Larissa Fabritz, Kashif Rajpoot, Davor Pavlovic

*Corresponding author for this work

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Optical mapping of animal models is a widely used technique in pre-clinical cardiac research. It has several advantages over other methods, including higher spatial resolution, contactless recording and direct visualisation of action potentials and calcium transients. Optical mapping enables simultaneous study of action potential and calcium transient morphology, conduction dynamics, regional heterogeneity, restitution and arrhythmogenesis. In this dataset, we have optically mapped Langendorff perfused isolated whole hearts (mouse and guinea pig) and superfused isolated atria (mouse). Raw datasets (consisting of over 400 files) can be combined with open-source software for processing and analysis. We have generated a comprehensive post-processed dataset characterising the baseline cardiac electrophysiology in these widely used pre-clinical models. This dataset also provides reference information detailing the effect of heart rate, clinically used anti-arrhythmic drugs, ischaemia-reperfusion and sympathetic nervous stimulation on cardiac electrophysiology. The effects of these interventions can be studied in a global or regional manner, enabling new insights into the prevention and initiation of arrhythmia.

Original languageEnglish
Article number135
Number of pages12
JournalScientific Data
Issue number1
Early online date31 Mar 2022
Publication statusPublished - Dec 2022

Bibliographical note

Funding Information:
This work was funded by the Wellcome Trust (Sir Henry Wellcome Fellowship 221650/Z/20/Z to COS, Seed Award Grant 109604/Z/15/Z to DP), EPSRC (Sci-Phy-4-Health Centre for Doctoral Training studentship L016346 to DP, KR and LF), the British Heart Foundation (PG/17/55/33087, RG/17/15/33106 to DP, PG/17/30/32961 to AH, Accelerator Award AA/18/2/34218 to Institute of Cardiovascular Sciences, FS/13/43/30324 to PK and LF ), EU CATCH ME (633196 to PK and LF), MAESTRIA (965286 to LF), and the Leducq Foundation (PK).

Publisher Copyright:
© 2022, The Author(s).

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences


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