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Mesmerize is a dynamically adaptable user-friendly analysis platform for 2D and 3D calcium imaging data
Calcium imaging is an increasingly valuable technique for understanding neural circuits, neuroethology, and cellular mechanisms. The analysis of calcium imaging data presents challenges in image processing, data organization, analysis, and accessibility. Tools have been created to address these prob...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589933/ https://www.ncbi.nlm.nih.gov/pubmed/34772921 http://dx.doi.org/10.1038/s41467-021-26550-y |
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author | Kolar, Kushal Dondorp, Daniel Zwiggelaar, Jordi Cornelis Høyer, Jørgen Chatzigeorgiou, Marios |
author_facet | Kolar, Kushal Dondorp, Daniel Zwiggelaar, Jordi Cornelis Høyer, Jørgen Chatzigeorgiou, Marios |
author_sort | Kolar, Kushal |
collection | PubMed |
description | Calcium imaging is an increasingly valuable technique for understanding neural circuits, neuroethology, and cellular mechanisms. The analysis of calcium imaging data presents challenges in image processing, data organization, analysis, and accessibility. Tools have been created to address these problems independently, however a comprehensive user-friendly package does not exist. Here we present Mesmerize, an efficient, expandable and user-friendly analysis platform, which uses a Findable, Accessible, Interoperable and Reproducible (FAIR) system to encapsulate the entire analysis process, from raw data to interactive visualizations for publication. Mesmerize provides a user-friendly graphical interface to state-of-the-art analysis methods for signal extraction & downstream analysis. We demonstrate the broad scientific scope of Mesmerize’s applications by analyzing neuronal datasets from mouse and a volumetric zebrafish dataset. We also applied contemporary time-series analysis techniques to analyze a novel dataset comprising neuronal, epidermal, and migratory mesenchymal cells of the protochordate Ciona intestinalis. |
format | Online Article Text |
id | pubmed-8589933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85899332021-11-15 Mesmerize is a dynamically adaptable user-friendly analysis platform for 2D and 3D calcium imaging data Kolar, Kushal Dondorp, Daniel Zwiggelaar, Jordi Cornelis Høyer, Jørgen Chatzigeorgiou, Marios Nat Commun Article Calcium imaging is an increasingly valuable technique for understanding neural circuits, neuroethology, and cellular mechanisms. The analysis of calcium imaging data presents challenges in image processing, data organization, analysis, and accessibility. Tools have been created to address these problems independently, however a comprehensive user-friendly package does not exist. Here we present Mesmerize, an efficient, expandable and user-friendly analysis platform, which uses a Findable, Accessible, Interoperable and Reproducible (FAIR) system to encapsulate the entire analysis process, from raw data to interactive visualizations for publication. Mesmerize provides a user-friendly graphical interface to state-of-the-art analysis methods for signal extraction & downstream analysis. We demonstrate the broad scientific scope of Mesmerize’s applications by analyzing neuronal datasets from mouse and a volumetric zebrafish dataset. We also applied contemporary time-series analysis techniques to analyze a novel dataset comprising neuronal, epidermal, and migratory mesenchymal cells of the protochordate Ciona intestinalis. Nature Publishing Group UK 2021-11-12 /pmc/articles/PMC8589933/ /pubmed/34772921 http://dx.doi.org/10.1038/s41467-021-26550-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kolar, Kushal Dondorp, Daniel Zwiggelaar, Jordi Cornelis Høyer, Jørgen Chatzigeorgiou, Marios Mesmerize is a dynamically adaptable user-friendly analysis platform for 2D and 3D calcium imaging data |
title | Mesmerize is a dynamically adaptable user-friendly analysis platform for 2D and 3D calcium imaging data |
title_full | Mesmerize is a dynamically adaptable user-friendly analysis platform for 2D and 3D calcium imaging data |
title_fullStr | Mesmerize is a dynamically adaptable user-friendly analysis platform for 2D and 3D calcium imaging data |
title_full_unstemmed | Mesmerize is a dynamically adaptable user-friendly analysis platform for 2D and 3D calcium imaging data |
title_short | Mesmerize is a dynamically adaptable user-friendly analysis platform for 2D and 3D calcium imaging data |
title_sort | mesmerize is a dynamically adaptable user-friendly analysis platform for 2d and 3d calcium imaging data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589933/ https://www.ncbi.nlm.nih.gov/pubmed/34772921 http://dx.doi.org/10.1038/s41467-021-26550-y |
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