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CardIAP: calcium transients confocal image analysis tool
One of the main topics of cardiovascular research is the study of calcium (Ca2+) handling, as even small changes in Ca2+ concentration can alter cell functionality (Bers, Annu Rev Physiol, 2014, 76, 107–127). Ionic calcium (Ca2+) plays the role of a second messenger in eukaryotic cells, associated w...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381969/ https://www.ncbi.nlm.nih.gov/pubmed/37521316 http://dx.doi.org/10.3389/fbinf.2023.1137815 |
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author | Velez Rueda, Ana Julia Gonano, Luis Alberto Smith, Agustín García Parisi, Gustavo Fornasari, María Silvina Sommese, Leandro Matías |
author_facet | Velez Rueda, Ana Julia Gonano, Luis Alberto Smith, Agustín García Parisi, Gustavo Fornasari, María Silvina Sommese, Leandro Matías |
author_sort | Velez Rueda, Ana Julia |
collection | PubMed |
description | One of the main topics of cardiovascular research is the study of calcium (Ca2+) handling, as even small changes in Ca2+ concentration can alter cell functionality (Bers, Annu Rev Physiol, 2014, 76, 107–127). Ionic calcium (Ca2+) plays the role of a second messenger in eukaryotic cells, associated with cellular functions such as cell cycle regulation, transport, motility, gene expression, and regulation. The use of fluorometric techniques in isolated cells loaded with Ca2+-sensitive fluorescent probes allows quantitative measurement of dynamic events occurring in living, functioning cells. The Cardiomyocytes Images Analyzer Python (CardIAP) application addresses the need to analyze and retrieve information from confocal microscopy images systematically, accurately, and rapidly. Here we present CardIAP, an open-source tool developed entirely in Python, freely available and useable in an interactive web application. In addition, CardIAP can be used as a standalone Python library and freely installed via PIP, making it easy to integrate into biomedical imaging pipelines. The images that can be generated in the study of the heart have the particularity of requiring both spatial and temporal analysis. CardIAP aims to open the field of cardiomyocytes and intact hearts image processing. The improvement in the extraction of information from the images will allow optimizing the usage of resources and animals. With CardIAP, users can run the analysis to both, the complete image, and portions of it in an easy way, and replicate it on a series of images. This analysis provides users with information on the spatial and temporal changes in calcium releases and characterizes them. The web application also allows users to extract calcium dynamics data in downloadable tables, simplifying the calculation of alternation and discordance indices and their classification. CardIAP aims to provide a tool that could assist biomedical researchers in studying the underlying mechanisms of anomalous calcium release phenomena. |
format | Online Article Text |
id | pubmed-10381969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103819692023-07-29 CardIAP: calcium transients confocal image analysis tool Velez Rueda, Ana Julia Gonano, Luis Alberto Smith, Agustín García Parisi, Gustavo Fornasari, María Silvina Sommese, Leandro Matías Front Bioinform Bioinformatics One of the main topics of cardiovascular research is the study of calcium (Ca2+) handling, as even small changes in Ca2+ concentration can alter cell functionality (Bers, Annu Rev Physiol, 2014, 76, 107–127). Ionic calcium (Ca2+) plays the role of a second messenger in eukaryotic cells, associated with cellular functions such as cell cycle regulation, transport, motility, gene expression, and regulation. The use of fluorometric techniques in isolated cells loaded with Ca2+-sensitive fluorescent probes allows quantitative measurement of dynamic events occurring in living, functioning cells. The Cardiomyocytes Images Analyzer Python (CardIAP) application addresses the need to analyze and retrieve information from confocal microscopy images systematically, accurately, and rapidly. Here we present CardIAP, an open-source tool developed entirely in Python, freely available and useable in an interactive web application. In addition, CardIAP can be used as a standalone Python library and freely installed via PIP, making it easy to integrate into biomedical imaging pipelines. The images that can be generated in the study of the heart have the particularity of requiring both spatial and temporal analysis. CardIAP aims to open the field of cardiomyocytes and intact hearts image processing. The improvement in the extraction of information from the images will allow optimizing the usage of resources and animals. With CardIAP, users can run the analysis to both, the complete image, and portions of it in an easy way, and replicate it on a series of images. This analysis provides users with information on the spatial and temporal changes in calcium releases and characterizes them. The web application also allows users to extract calcium dynamics data in downloadable tables, simplifying the calculation of alternation and discordance indices and their classification. CardIAP aims to provide a tool that could assist biomedical researchers in studying the underlying mechanisms of anomalous calcium release phenomena. Frontiers Media S.A. 2023-07-14 /pmc/articles/PMC10381969/ /pubmed/37521316 http://dx.doi.org/10.3389/fbinf.2023.1137815 Text en Copyright © 2023 Velez Rueda, Gonano, Smith, Parisi, Fornasari and Sommese. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioinformatics Velez Rueda, Ana Julia Gonano, Luis Alberto Smith, Agustín García Parisi, Gustavo Fornasari, María Silvina Sommese, Leandro Matías CardIAP: calcium transients confocal image analysis tool |
title | CardIAP: calcium transients confocal image analysis tool |
title_full | CardIAP: calcium transients confocal image analysis tool |
title_fullStr | CardIAP: calcium transients confocal image analysis tool |
title_full_unstemmed | CardIAP: calcium transients confocal image analysis tool |
title_short | CardIAP: calcium transients confocal image analysis tool |
title_sort | cardiap: calcium transients confocal image analysis tool |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381969/ https://www.ncbi.nlm.nih.gov/pubmed/37521316 http://dx.doi.org/10.3389/fbinf.2023.1137815 |
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