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MyoCount: a software tool for the automated quantification of myotube surface area and nuclear fusion index
It is often desirable to characterise the morphology of myogenic cultures. To achieve this, the surface area of myotubes is often quantified, along with the nuclear fusion index (NFI). Existing methods of such quantification are time-consuming and subject to error-prone human input. We have develope...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419977/ https://www.ncbi.nlm.nih.gov/pubmed/30906880 http://dx.doi.org/10.12688/wellcomeopenres.15055.1 |
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author | Murphy, David P. Nicholson, Thomas Jones, Simon W. O'Leary, Mary F. |
author_facet | Murphy, David P. Nicholson, Thomas Jones, Simon W. O'Leary, Mary F. |
author_sort | Murphy, David P. |
collection | PubMed |
description | It is often desirable to characterise the morphology of myogenic cultures. To achieve this, the surface area of myotubes is often quantified, along with the nuclear fusion index (NFI). Existing methods of such quantification are time-consuming and subject to error-prone human input. We have developed MyoCount, an open-source program that runs via the freely available MATLAB Runtime and quantifies myotube surface area and NFI. MyoCount allows the user to adjust its parameters to account for differences in image quality, magnification and the colour channels used in generating the image. MyoCount measures of myotube surface area and NFI were compared to the mean of measures performed by two blinded investigators using ImageJ software (surface area R (2) = 0.89, NFI R (2) =0.87). For NFI, the mean coefficient of variation (CV) between two investigators (17.6 ± 2.3%) was significantly higher than that between the investigator mean and MyoCount (13.5 ± 1.4%). For measurements of myotube area, the CV did not differ between both analysis methods. Given these results and the advantages of applying the same image analysis method uniformly across all images in an experiment, we suggest that MyoCount will be a useful research tool and we publish its source code and instructions for its use alongside this article. |
format | Online Article Text |
id | pubmed-6419977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-64199772019-03-21 MyoCount: a software tool for the automated quantification of myotube surface area and nuclear fusion index Murphy, David P. Nicholson, Thomas Jones, Simon W. O'Leary, Mary F. Wellcome Open Res Software Tool Article It is often desirable to characterise the morphology of myogenic cultures. To achieve this, the surface area of myotubes is often quantified, along with the nuclear fusion index (NFI). Existing methods of such quantification are time-consuming and subject to error-prone human input. We have developed MyoCount, an open-source program that runs via the freely available MATLAB Runtime and quantifies myotube surface area and NFI. MyoCount allows the user to adjust its parameters to account for differences in image quality, magnification and the colour channels used in generating the image. MyoCount measures of myotube surface area and NFI were compared to the mean of measures performed by two blinded investigators using ImageJ software (surface area R (2) = 0.89, NFI R (2) =0.87). For NFI, the mean coefficient of variation (CV) between two investigators (17.6 ± 2.3%) was significantly higher than that between the investigator mean and MyoCount (13.5 ± 1.4%). For measurements of myotube area, the CV did not differ between both analysis methods. Given these results and the advantages of applying the same image analysis method uniformly across all images in an experiment, we suggest that MyoCount will be a useful research tool and we publish its source code and instructions for its use alongside this article. F1000 Research Limited 2019-01-21 /pmc/articles/PMC6419977/ /pubmed/30906880 http://dx.doi.org/10.12688/wellcomeopenres.15055.1 Text en Copyright: © 2019 Murphy DP et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Murphy, David P. Nicholson, Thomas Jones, Simon W. O'Leary, Mary F. MyoCount: a software tool for the automated quantification of myotube surface area and nuclear fusion index |
title | MyoCount: a software tool for the automated quantification of myotube surface area and nuclear fusion index |
title_full | MyoCount: a software tool for the automated quantification of myotube surface area and nuclear fusion index |
title_fullStr | MyoCount: a software tool for the automated quantification of myotube surface area and nuclear fusion index |
title_full_unstemmed | MyoCount: a software tool for the automated quantification of myotube surface area and nuclear fusion index |
title_short | MyoCount: a software tool for the automated quantification of myotube surface area and nuclear fusion index |
title_sort | myocount: a software tool for the automated quantification of myotube surface area and nuclear fusion index |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419977/ https://www.ncbi.nlm.nih.gov/pubmed/30906880 http://dx.doi.org/10.12688/wellcomeopenres.15055.1 |
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