Coefficient of variation as an image-intensity metric for cytoskeleton bundling

Abstract The evaluation of cytoskeletal bundling is a fundamental experimental method in the field of cell biology. Although the skewness of the pixel intensity distribution derived from fluorescently-labeled cytoskeletons has been widely used as a metric to evaluate the degree of bundling in digita...

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Autores principales:	Takumi Higaki, Kae Akita, Kaoru Katoh
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/439993b9ae7945f691d1794bfb1124c7
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spelling	oai:doaj.org-article:439993b9ae7945f691d1794bfb1124c72021-12-02T13:57:01ZCoefficient of variation as an image-intensity metric for cytoskeleton bundling10.1038/s41598-020-79136-x2045-2322https://doaj.org/article/439993b9ae7945f691d1794bfb1124c72020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79136-xhttps://doaj.org/toc/2045-2322Abstract The evaluation of cytoskeletal bundling is a fundamental experimental method in the field of cell biology. Although the skewness of the pixel intensity distribution derived from fluorescently-labeled cytoskeletons has been widely used as a metric to evaluate the degree of bundling in digital microscopy images, its versatility has not been fully validated. Here, we applied the coefficient of variation (CV) of intensity values as an alternative metric, and compared its performance with skewness. In synthetic images representing extremely bundled conditions, the CV successfully detected degrees of bundling that could not be distinguished by skewness. On actual microscopy images, CV was better than skewness, especially on variable-angle epifluorescence microscopic images or stimulated emission depletion and confocal microscopy images of very small areas of around 1 μm2. When blur or noise was added to synthetic images, CV was found to be robust to blur but deleteriously affected by noise, whereas skewness was robust to noise but deleteriously affected by blur. For confocal images, CV and skewness showed similar sensitivity to noise, possibly because optical blurring is often present in microscopy images. Therefore, in practical use with actual microscopy images, CV may be more appropriate than skewness, unless the image is extremely noisy.Takumi HigakiKae AkitaKaoru KatohNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Takumi Higaki Kae Akita Kaoru Katoh Coefficient of variation as an image-intensity metric for cytoskeleton bundling
description	Abstract The evaluation of cytoskeletal bundling is a fundamental experimental method in the field of cell biology. Although the skewness of the pixel intensity distribution derived from fluorescently-labeled cytoskeletons has been widely used as a metric to evaluate the degree of bundling in digital microscopy images, its versatility has not been fully validated. Here, we applied the coefficient of variation (CV) of intensity values as an alternative metric, and compared its performance with skewness. In synthetic images representing extremely bundled conditions, the CV successfully detected degrees of bundling that could not be distinguished by skewness. On actual microscopy images, CV was better than skewness, especially on variable-angle epifluorescence microscopic images or stimulated emission depletion and confocal microscopy images of very small areas of around 1 μm2. When blur or noise was added to synthetic images, CV was found to be robust to blur but deleteriously affected by noise, whereas skewness was robust to noise but deleteriously affected by blur. For confocal images, CV and skewness showed similar sensitivity to noise, possibly because optical blurring is often present in microscopy images. Therefore, in practical use with actual microscopy images, CV may be more appropriate than skewness, unless the image is extremely noisy.
format	article
author	Takumi Higaki Kae Akita Kaoru Katoh
author_facet	Takumi Higaki Kae Akita Kaoru Katoh
author_sort	Takumi Higaki
title	Coefficient of variation as an image-intensity metric for cytoskeleton bundling
title_short	Coefficient of variation as an image-intensity metric for cytoskeleton bundling
title_full	Coefficient of variation as an image-intensity metric for cytoskeleton bundling
title_fullStr	Coefficient of variation as an image-intensity metric for cytoskeleton bundling
title_full_unstemmed	Coefficient of variation as an image-intensity metric for cytoskeleton bundling
title_sort	coefficient of variation as an image-intensity metric for cytoskeleton bundling
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/439993b9ae7945f691d1794bfb1124c7
work_keys_str_mv	AT takumihigaki coefficientofvariationasanimageintensitymetricforcytoskeletonbundling AT kaeakita coefficientofvariationasanimageintensitymetricforcytoskeletonbundling AT kaorukatoh coefficientofvariationasanimageintensitymetricforcytoskeletonbundling
_version_	1718392317509894144

Coefficient of variation as an image-intensity metric for cytoskeleton bundling

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