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Quantitative Imaging with a Mobile Phone Microscope

Use of optical imaging for medical and scientific applications requires accurate quantification of features such as object size, color, and brightness. High pixel density cameras available on modern mobile phones have made photography simple and convenient for consumer applications; however, the cam...

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Autores principales: Skandarajah, Arunan, Reber, Clay D., Switz, Neil A., Fletcher, Daniel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019540/
https://www.ncbi.nlm.nih.gov/pubmed/24824072
http://dx.doi.org/10.1371/journal.pone.0096906
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author Skandarajah, Arunan
Reber, Clay D.
Switz, Neil A.
Fletcher, Daniel A.
author_facet Skandarajah, Arunan
Reber, Clay D.
Switz, Neil A.
Fletcher, Daniel A.
author_sort Skandarajah, Arunan
collection PubMed
description Use of optical imaging for medical and scientific applications requires accurate quantification of features such as object size, color, and brightness. High pixel density cameras available on modern mobile phones have made photography simple and convenient for consumer applications; however, the camera hardware and software that enables this simplicity can present a barrier to accurate quantification of image data. This issue is exacerbated by automated settings, proprietary image processing algorithms, rapid phone evolution, and the diversity of manufacturers. If mobile phone cameras are to live up to their potential to increase access to healthcare in low-resource settings, limitations of mobile phone–based imaging must be fully understood and addressed with procedures that minimize their effects on image quantification. Here we focus on microscopic optical imaging using a custom mobile phone microscope that is compatible with phones from multiple manufacturers. We demonstrate that quantitative microscopy with micron-scale spatial resolution can be carried out with multiple phones and that image linearity, distortion, and color can be corrected as needed. Using all versions of the iPhone and a selection of Android phones released between 2007 and 2012, we show that phones with greater than 5 MP are capable of nearly diffraction-limited resolution over a broad range of magnifications, including those relevant for single cell imaging. We find that automatic focus, exposure, and color gain standard on mobile phones can degrade image resolution and reduce accuracy of color capture if uncorrected, and we devise procedures to avoid these barriers to quantitative imaging. By accommodating the differences between mobile phone cameras and the scientific cameras, mobile phone microscopes can be reliably used to increase access to quantitative imaging for a variety of medical and scientific applications.
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spelling pubmed-40195402014-05-16 Quantitative Imaging with a Mobile Phone Microscope Skandarajah, Arunan Reber, Clay D. Switz, Neil A. Fletcher, Daniel A. PLoS One Research Article Use of optical imaging for medical and scientific applications requires accurate quantification of features such as object size, color, and brightness. High pixel density cameras available on modern mobile phones have made photography simple and convenient for consumer applications; however, the camera hardware and software that enables this simplicity can present a barrier to accurate quantification of image data. This issue is exacerbated by automated settings, proprietary image processing algorithms, rapid phone evolution, and the diversity of manufacturers. If mobile phone cameras are to live up to their potential to increase access to healthcare in low-resource settings, limitations of mobile phone–based imaging must be fully understood and addressed with procedures that minimize their effects on image quantification. Here we focus on microscopic optical imaging using a custom mobile phone microscope that is compatible with phones from multiple manufacturers. We demonstrate that quantitative microscopy with micron-scale spatial resolution can be carried out with multiple phones and that image linearity, distortion, and color can be corrected as needed. Using all versions of the iPhone and a selection of Android phones released between 2007 and 2012, we show that phones with greater than 5 MP are capable of nearly diffraction-limited resolution over a broad range of magnifications, including those relevant for single cell imaging. We find that automatic focus, exposure, and color gain standard on mobile phones can degrade image resolution and reduce accuracy of color capture if uncorrected, and we devise procedures to avoid these barriers to quantitative imaging. By accommodating the differences between mobile phone cameras and the scientific cameras, mobile phone microscopes can be reliably used to increase access to quantitative imaging for a variety of medical and scientific applications. Public Library of Science 2014-05-13 /pmc/articles/PMC4019540/ /pubmed/24824072 http://dx.doi.org/10.1371/journal.pone.0096906 Text en © 2014 Skandarajah et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Skandarajah, Arunan
Reber, Clay D.
Switz, Neil A.
Fletcher, Daniel A.
Quantitative Imaging with a Mobile Phone Microscope
title Quantitative Imaging with a Mobile Phone Microscope
title_full Quantitative Imaging with a Mobile Phone Microscope
title_fullStr Quantitative Imaging with a Mobile Phone Microscope
title_full_unstemmed Quantitative Imaging with a Mobile Phone Microscope
title_short Quantitative Imaging with a Mobile Phone Microscope
title_sort quantitative imaging with a mobile phone microscope
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019540/
https://www.ncbi.nlm.nih.gov/pubmed/24824072
http://dx.doi.org/10.1371/journal.pone.0096906
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