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IOCBIO Sparks detection and analysis software

Analysis of calcium sparks in cardiomyocytes can provide valuable information about functional changes of calcium handling in health and disease. As a part of the calcium sparks analysis, sparks detection and characterization is necessary. Here, we describe a new open-source platform for automatic c...

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Autores principales: Laasmaa, Martin, Karro, Niina, Birkedal, Rikke, Vendelin, Marko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6442673/
https://www.ncbi.nlm.nih.gov/pubmed/30956900
http://dx.doi.org/10.7717/peerj.6652
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author Laasmaa, Martin
Karro, Niina
Birkedal, Rikke
Vendelin, Marko
author_facet Laasmaa, Martin
Karro, Niina
Birkedal, Rikke
Vendelin, Marko
author_sort Laasmaa, Martin
collection PubMed
description Analysis of calcium sparks in cardiomyocytes can provide valuable information about functional changes of calcium handling in health and disease. As a part of the calcium sparks analysis, sparks detection and characterization is necessary. Here, we describe a new open-source platform for automatic calcium sparks detection from line scan confocal images. The developed software is tailored for detecting only calcium sparks, allowing us to design a graphical user interface specifically for this task. The software enables detecting sparks automatically as well as adding, removing, or adjusting regions of interest marking each spark. The results of the analysis are stored in an SQL database, allowing simple integration with statistical tools. We have analyzed the performance of the algorithm using a large set of synthetic images with varying spark sizes and noise levels and also compared the analysis results with results obtained by software established in the field. The use of our software is illustrated by an analysis of the effect of isoprenaline (ISO) on spark frequency, amplitude, and spatial and temporal characteristics. For that, cardiomyocytes from C57BL/6 mice were used. We demonstrated an increase in spark frequency, tendency of having larger spark amplitudes, sparks with a longer duration, and occurrence of multiple sparks from the same site in the presence of ISO. We also show that the duration and the width of sparks with the same amplitude were similar in the absence and presence of ISO. The software was released as an open source repository and is available for free use and collaborative development.
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spelling pubmed-64426732019-04-05 IOCBIO Sparks detection and analysis software Laasmaa, Martin Karro, Niina Birkedal, Rikke Vendelin, Marko PeerJ Bioinformatics Analysis of calcium sparks in cardiomyocytes can provide valuable information about functional changes of calcium handling in health and disease. As a part of the calcium sparks analysis, sparks detection and characterization is necessary. Here, we describe a new open-source platform for automatic calcium sparks detection from line scan confocal images. The developed software is tailored for detecting only calcium sparks, allowing us to design a graphical user interface specifically for this task. The software enables detecting sparks automatically as well as adding, removing, or adjusting regions of interest marking each spark. The results of the analysis are stored in an SQL database, allowing simple integration with statistical tools. We have analyzed the performance of the algorithm using a large set of synthetic images with varying spark sizes and noise levels and also compared the analysis results with results obtained by software established in the field. The use of our software is illustrated by an analysis of the effect of isoprenaline (ISO) on spark frequency, amplitude, and spatial and temporal characteristics. For that, cardiomyocytes from C57BL/6 mice were used. We demonstrated an increase in spark frequency, tendency of having larger spark amplitudes, sparks with a longer duration, and occurrence of multiple sparks from the same site in the presence of ISO. We also show that the duration and the width of sparks with the same amplitude were similar in the absence and presence of ISO. The software was released as an open source repository and is available for free use and collaborative development. PeerJ Inc. 2019-03-29 /pmc/articles/PMC6442673/ /pubmed/30956900 http://dx.doi.org/10.7717/peerj.6652 Text en © 2019 Laasmaa et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Laasmaa, Martin
Karro, Niina
Birkedal, Rikke
Vendelin, Marko
IOCBIO Sparks detection and analysis software
title IOCBIO Sparks detection and analysis software
title_full IOCBIO Sparks detection and analysis software
title_fullStr IOCBIO Sparks detection and analysis software
title_full_unstemmed IOCBIO Sparks detection and analysis software
title_short IOCBIO Sparks detection and analysis software
title_sort iocbio sparks detection and analysis software
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6442673/
https://www.ncbi.nlm.nih.gov/pubmed/30956900
http://dx.doi.org/10.7717/peerj.6652
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