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Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors

In the past twelve years, digital image colorimetry (DIC) on smartphones has acquired great importance as an alternative to the most common analytical techniques. This analysis method is based on fast, low-cost, and easily-accessible technology, which can provide quantitative information about an an...

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Autores principales: Cebrián, Pablo, Pérez-Sienes, Leticia, Sanz-Vicente, Isabel, López-Molinero, Ángel, de Marcos, Susana, Galbán, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139083/
https://www.ncbi.nlm.nih.gov/pubmed/35624642
http://dx.doi.org/10.3390/bios12050341
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author Cebrián, Pablo
Pérez-Sienes, Leticia
Sanz-Vicente, Isabel
López-Molinero, Ángel
de Marcos, Susana
Galbán, Javier
author_facet Cebrián, Pablo
Pérez-Sienes, Leticia
Sanz-Vicente, Isabel
López-Molinero, Ángel
de Marcos, Susana
Galbán, Javier
author_sort Cebrián, Pablo
collection PubMed
description In the past twelve years, digital image colorimetry (DIC) on smartphones has acquired great importance as an alternative to the most common analytical techniques. This analysis method is based on fast, low-cost, and easily-accessible technology, which can provide quantitative information about an analyte through the color changes of a digital image. Despite the fact that DIC is very widespread, it is not exempt from a series of problems that are not fully resolved yet, such as variability of the measurements between smartphones, image format in which color information is stored, power distribution of the illuminant used for the measurements, among others. This article proposes a methodology for the standardization and correction of these problems using self-developed software, together with the use of a 3D printed light box. This methodology is applied to three different colorimetric analyses using different types and brands of smartphones, proving that comparable measurements between devices can be achieved. As color can be related to many target analytes, establishing this measurement methodology can lead to new control analysis applicable to diverse sectors such as alimentary, industrial, agrarian, or sanitary.
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spelling pubmed-91390832022-05-28 Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors Cebrián, Pablo Pérez-Sienes, Leticia Sanz-Vicente, Isabel López-Molinero, Ángel de Marcos, Susana Galbán, Javier Biosensors (Basel) Article In the past twelve years, digital image colorimetry (DIC) on smartphones has acquired great importance as an alternative to the most common analytical techniques. This analysis method is based on fast, low-cost, and easily-accessible technology, which can provide quantitative information about an analyte through the color changes of a digital image. Despite the fact that DIC is very widespread, it is not exempt from a series of problems that are not fully resolved yet, such as variability of the measurements between smartphones, image format in which color information is stored, power distribution of the illuminant used for the measurements, among others. This article proposes a methodology for the standardization and correction of these problems using self-developed software, together with the use of a 3D printed light box. This methodology is applied to three different colorimetric analyses using different types and brands of smartphones, proving that comparable measurements between devices can be achieved. As color can be related to many target analytes, establishing this measurement methodology can lead to new control analysis applicable to diverse sectors such as alimentary, industrial, agrarian, or sanitary. MDPI 2022-05-17 /pmc/articles/PMC9139083/ /pubmed/35624642 http://dx.doi.org/10.3390/bios12050341 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cebrián, Pablo
Pérez-Sienes, Leticia
Sanz-Vicente, Isabel
López-Molinero, Ángel
de Marcos, Susana
Galbán, Javier
Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors
title Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors
title_full Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors
title_fullStr Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors
title_full_unstemmed Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors
title_short Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors
title_sort solving color reproducibility between digital devices: a robust approach of smartphones color management for chemical (bio)sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139083/
https://www.ncbi.nlm.nih.gov/pubmed/35624642
http://dx.doi.org/10.3390/bios12050341
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