Open software platform for automated analysis of paper-based microfluidic devices

Abstract Development of paper-based microfluidic devices that perform colorimetric measurements requires quantitative image analysis. Because the design geometries of paper-based microfluidic devices are not standardized, conventional methods for performing batch measurements of regularly spaced are...

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Autores principales:	Rayleigh W. Parker, Daniel J. Wilson, Charles R. Mace
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5aec0a738ed14a3d83644ca72d62ded1
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spelling	oai:doaj.org-article:5aec0a738ed14a3d83644ca72d62ded12021-12-02T15:39:58ZOpen software platform for automated analysis of paper-based microfluidic devices10.1038/s41598-020-67639-62045-2322https://doaj.org/article/5aec0a738ed14a3d83644ca72d62ded12020-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-67639-6https://doaj.org/toc/2045-2322Abstract Development of paper-based microfluidic devices that perform colorimetric measurements requires quantitative image analysis. Because the design geometries of paper-based microfluidic devices are not standardized, conventional methods for performing batch measurements of regularly spaced areas of signal intensity, such as those for well plates, cannot be used to quantify signal from most of these devices. To streamline the device development process, we have developed an open-source program called ColorScan that can automatically recognize and measure signal-containing zones from images of devices, regardless of output zone geometry or spatial arrangement. This program, which measures color intensity with the same accuracy as standard manual approaches, can rapidly process scanned device images, simultaneously measure identified output zones, and effectively manage measurement results to eliminate requirements for time-consuming and user-dependent image processing procedures.Rayleigh W. ParkerDaniel J. WilsonCharles R. MaceNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rayleigh W. Parker Daniel J. Wilson Charles R. Mace Open software platform for automated analysis of paper-based microfluidic devices
description	Abstract Development of paper-based microfluidic devices that perform colorimetric measurements requires quantitative image analysis. Because the design geometries of paper-based microfluidic devices are not standardized, conventional methods for performing batch measurements of regularly spaced areas of signal intensity, such as those for well plates, cannot be used to quantify signal from most of these devices. To streamline the device development process, we have developed an open-source program called ColorScan that can automatically recognize and measure signal-containing zones from images of devices, regardless of output zone geometry or spatial arrangement. This program, which measures color intensity with the same accuracy as standard manual approaches, can rapidly process scanned device images, simultaneously measure identified output zones, and effectively manage measurement results to eliminate requirements for time-consuming and user-dependent image processing procedures.
format	article
author	Rayleigh W. Parker Daniel J. Wilson Charles R. Mace
author_facet	Rayleigh W. Parker Daniel J. Wilson Charles R. Mace
author_sort	Rayleigh W. Parker
title	Open software platform for automated analysis of paper-based microfluidic devices
title_short	Open software platform for automated analysis of paper-based microfluidic devices
title_full	Open software platform for automated analysis of paper-based microfluidic devices
title_fullStr	Open software platform for automated analysis of paper-based microfluidic devices
title_full_unstemmed	Open software platform for automated analysis of paper-based microfluidic devices
title_sort	open software platform for automated analysis of paper-based microfluidic devices
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/5aec0a738ed14a3d83644ca72d62ded1
work_keys_str_mv	AT rayleighwparker opensoftwareplatformforautomatedanalysisofpaperbasedmicrofluidicdevices AT danieljwilson opensoftwareplatformforautomatedanalysisofpaperbasedmicrofluidicdevices AT charlesrmace opensoftwareplatformforautomatedanalysisofpaperbasedmicrofluidicdevices
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Open software platform for automated analysis of paper-based microfluidic devices

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