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RHYTHM: An Open Source Imaging Toolkit for Cardiac Panoramic Optical Mapping

Fluorescence optical imaging techniques have revolutionized the field of cardiac electrophysiology and advanced our understanding of complex electrical activities such as arrhythmias. However, traditional monocular optical mapping systems, despite having high spatial resolution, are restricted to a...

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Autores principales: Gloschat, Christopher, Aras, Kedar, Gupta, Shubham, Faye, N. Rokhaya, Zhang, Hanyu, Syunyaev, Roman A., Pryamonosov, Roman A., Rogers, Jack, Kay, Matthew W., Efimov, Igor R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811559/
https://www.ncbi.nlm.nih.gov/pubmed/29440763
http://dx.doi.org/10.1038/s41598-018-21333-w
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author Gloschat, Christopher
Aras, Kedar
Gupta, Shubham
Faye, N. Rokhaya
Zhang, Hanyu
Syunyaev, Roman A.
Pryamonosov, Roman A.
Rogers, Jack
Kay, Matthew W.
Efimov, Igor R.
author_facet Gloschat, Christopher
Aras, Kedar
Gupta, Shubham
Faye, N. Rokhaya
Zhang, Hanyu
Syunyaev, Roman A.
Pryamonosov, Roman A.
Rogers, Jack
Kay, Matthew W.
Efimov, Igor R.
author_sort Gloschat, Christopher
collection PubMed
description Fluorescence optical imaging techniques have revolutionized the field of cardiac electrophysiology and advanced our understanding of complex electrical activities such as arrhythmias. However, traditional monocular optical mapping systems, despite having high spatial resolution, are restricted to a two-dimensional (2D) field of view. Consequently, tracking complex three-dimensional (3D) electrical waves such as during ventricular fibrillation is challenging as the waves rapidly move in and out of the field of view. This problem has been solved by panoramic imaging which uses multiple cameras to measure the electrical activity from the entire epicardial surface. However, the diverse engineering skill set and substantial resource cost required to design and implement this solution have made it largely inaccessible to the biomedical research community at large. To address this barrier to entry, we present an open source toolkit for building panoramic optical mapping systems which includes the 3D printing of perfusion and imaging hardware, as well as software for data processing and analysis. In this paper, we describe the toolkit and demonstrate it on different mammalian hearts: mouse, rat, and rabbit.
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spelling pubmed-58115592018-02-16 RHYTHM: An Open Source Imaging Toolkit for Cardiac Panoramic Optical Mapping Gloschat, Christopher Aras, Kedar Gupta, Shubham Faye, N. Rokhaya Zhang, Hanyu Syunyaev, Roman A. Pryamonosov, Roman A. Rogers, Jack Kay, Matthew W. Efimov, Igor R. Sci Rep Article Fluorescence optical imaging techniques have revolutionized the field of cardiac electrophysiology and advanced our understanding of complex electrical activities such as arrhythmias. However, traditional monocular optical mapping systems, despite having high spatial resolution, are restricted to a two-dimensional (2D) field of view. Consequently, tracking complex three-dimensional (3D) electrical waves such as during ventricular fibrillation is challenging as the waves rapidly move in and out of the field of view. This problem has been solved by panoramic imaging which uses multiple cameras to measure the electrical activity from the entire epicardial surface. However, the diverse engineering skill set and substantial resource cost required to design and implement this solution have made it largely inaccessible to the biomedical research community at large. To address this barrier to entry, we present an open source toolkit for building panoramic optical mapping systems which includes the 3D printing of perfusion and imaging hardware, as well as software for data processing and analysis. In this paper, we describe the toolkit and demonstrate it on different mammalian hearts: mouse, rat, and rabbit. Nature Publishing Group UK 2018-02-13 /pmc/articles/PMC5811559/ /pubmed/29440763 http://dx.doi.org/10.1038/s41598-018-21333-w Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Gloschat, Christopher
Aras, Kedar
Gupta, Shubham
Faye, N. Rokhaya
Zhang, Hanyu
Syunyaev, Roman A.
Pryamonosov, Roman A.
Rogers, Jack
Kay, Matthew W.
Efimov, Igor R.
RHYTHM: An Open Source Imaging Toolkit for Cardiac Panoramic Optical Mapping
title RHYTHM: An Open Source Imaging Toolkit for Cardiac Panoramic Optical Mapping
title_full RHYTHM: An Open Source Imaging Toolkit for Cardiac Panoramic Optical Mapping
title_fullStr RHYTHM: An Open Source Imaging Toolkit for Cardiac Panoramic Optical Mapping
title_full_unstemmed RHYTHM: An Open Source Imaging Toolkit for Cardiac Panoramic Optical Mapping
title_short RHYTHM: An Open Source Imaging Toolkit for Cardiac Panoramic Optical Mapping
title_sort rhythm: an open source imaging toolkit for cardiac panoramic optical mapping
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811559/
https://www.ncbi.nlm.nih.gov/pubmed/29440763
http://dx.doi.org/10.1038/s41598-018-21333-w
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