Literature DB >> 27760347

Ccoffinn: Automated Wave Tracking in Cultured Cardiac Monolayers.

Jakub Tomek1, Rebecca A B Burton2, Gil Bub3.   

Abstract

Cardiac arrhythmias are one of the most frequent causes of death worldwide. A popular biological model used to study arrhythmogenesis is the cultured cardiac cell monolayer, which provides a good trade-off between physiological relevance and experimental access. Excitation wave patterns are imaged using high-bandwidth detectors, producing large data sets that are typically analyzed manually. To make such analysis less time consuming and less subjective, we have designed and implemented a toolkit for segmentation and tracking of cardiac waves in optical mapping recordings. The toolkit is optimized for high-resolution detectors to accommodate the growing availability of inexpensive high-resolution detectors for life science imaging applications (e.g., scientific CMOS cameras). The software extracts key features of propagating waves, such as wavefront speed and entropy. The methods have been validated using synthetic data, and real-world examples are provided, showing a difference in conduction velocity between two different types of cardiac cell cultures.
Copyright © 2016 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27760347      PMCID: PMC5072981          DOI: 10.1016/j.bpj.2016.08.049

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  19 in total

1.  Epicardial rotors in panoramic optical maps of fibrillating swine ventricles.

Authors:  Matthew W Kay; Jack M Rogers
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

Review 2.  Sudden cardiac death.

Authors:  D P Zipes; H J Wellens
Journal:  Circulation       Date:  1998-11-24       Impact factor: 29.690

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4.  Feasibility of a semi-automated method for cardiac conduction velocity analysis of high-resolution activation maps.

Authors:  Ashish N Doshi; Richard D Walton; Sébastien P Krul; Joris R de Groot; Olivier Bernus; Igor R Efimov; Bastiaan J Boukens; Ruben Coronel
Journal:  Comput Biol Med       Date:  2015-05-21       Impact factor: 4.589

Review 5.  Optical imaging of arrhythmias in tissue culture.

Authors:  Leslie Tung; Yibing Zhang
Journal:  J Electrocardiol       Date:  2006-10       Impact factor: 1.438

Review 6.  Cardiac optogenetics.

Authors:  Emilia Entcheva
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-03-01       Impact factor: 4.733

7.  Optical control of excitation waves in cardiac tissue.

Authors:  Rebecca A B Burton; Aleksandra Klimas; Christina M Ambrosi; Jakub Tomek; Alex Corbett; Emilia Entcheva; Gil Bub
Journal:  Nat Photonics       Date:  2015-10-19       Impact factor: 38.771

8.  Experimental comparison of the high-speed imaging performance of an EM-CCD and sCMOS camera in a dynamic live-cell imaging test case.

Authors:  Hope T Beier; Bennett L Ibey
Journal:  PLoS One       Date:  2014-01-03       Impact factor: 3.240

9.  Why most published research findings are false.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613

10.  How to measure propagation velocity in cardiac tissue: a simulation study.

Authors:  Andre C Linnenbank; Jacques M T de Bakker; Ruben Coronel
Journal:  Front Physiol       Date:  2014-07-22       Impact factor: 4.566

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  6 in total

Review 1.  Combining tissue engineering and optical imaging approaches to explore interactions along the neuro-cardiac axis.

Authors:  Charalampos Sigalas; Maegan Cremer; Annika Winbo; Samuel J Bose; Jesse L Ashton; Gil Bub; Johanna M Montgomery; Rebecca A B Burton
Journal:  R Soc Open Sci       Date:  2020-06-17       Impact factor: 2.963

2.  Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis.

Authors:  Christopher S Dunham; Madelynn E Mackenzie; Haruko Nakano; Alexis R Kim; Atsushi Nakano; Adam Z Stieg; James K Gimzewski
Journal:  PLoS One       Date:  2022-05-26       Impact factor: 3.752

3.  ElectroMap: High-throughput open-source software for analysis and mapping of cardiac electrophysiology.

Authors:  Christopher O'Shea; Andrew P Holmes; Ting Y Yu; James Winter; Simon P Wells; Joao Correia; Bastiaan J Boukens; Joris R De Groot; Gavin S Chu; Xin Li; G Andre Ng; Paulus Kirchhof; Larissa Fabritz; Kashif Rajpoot; Davor Pavlovic
Journal:  Sci Rep       Date:  2019-02-04       Impact factor: 4.379

4.  COSMAS: a lightweight toolbox for cardiac optical mapping analysis.

Authors:  Jakub Tomek; Zhinuo Jenny Wang; Rebecca-Ann Beatrice Burton; Neil Herring; Gil Bub
Journal:  Sci Rep       Date:  2021-04-28       Impact factor: 4.379

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

Authors:  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
Journal:  Sci Data       Date:  2022-03-31       Impact factor: 6.444

6.  Circle Method for Robust Estimation of Local Conduction Velocity High-Density Maps From Optical Mapping Data: Characterization of Radiofrequency Ablation Sites.

Authors:  Jimena G Siles-Paredes; Christopher J Crowley; Flavio H Fenton; Neal Bhatia; Shahriar Iravanian; Italo Sandoval; Stefan Pollnow; Olaf Dössel; João Salinet; Ilija Uzelac
Journal:  Front Physiol       Date:  2022-08-12       Impact factor: 4.755

  6 in total

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