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Imaging systems and algorithms to analyze biological samples in real-time using mobile phone microscopy

Miniaturized imaging devices have pushed the boundaries of point-of-care imaging, but existing mobile-phone-based imaging systems do not exploit the full potential of smart phones. This work demonstrates the use of simple imaging configurations to deliver superior image quality and the ability to ha...

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Detalles Bibliográficos
Autores principales: Shanmugam, Akshaya, Usmani, Mohammad, Mayberry, Addison, Perkins, David L., Holcomb, Daniel E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839566/
https://www.ncbi.nlm.nih.gov/pubmed/29509786
http://dx.doi.org/10.1371/journal.pone.0193797
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author Shanmugam, Akshaya
Usmani, Mohammad
Mayberry, Addison
Perkins, David L.
Holcomb, Daniel E.
author_facet Shanmugam, Akshaya
Usmani, Mohammad
Mayberry, Addison
Perkins, David L.
Holcomb, Daniel E.
author_sort Shanmugam, Akshaya
collection PubMed
description Miniaturized imaging devices have pushed the boundaries of point-of-care imaging, but existing mobile-phone-based imaging systems do not exploit the full potential of smart phones. This work demonstrates the use of simple imaging configurations to deliver superior image quality and the ability to handle a wide range of biological samples. Results presented in this work are from analysis of fluorescent beads under fluorescence imaging, as well as helminth eggs and freshwater mussel larvae under white light imaging. To demonstrate versatility of the systems, real time analysis and post-processing results of the sample count and sample size are presented in both still images and videos of flowing samples.
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spelling pubmed-58395662018-03-23 Imaging systems and algorithms to analyze biological samples in real-time using mobile phone microscopy Shanmugam, Akshaya Usmani, Mohammad Mayberry, Addison Perkins, David L. Holcomb, Daniel E. PLoS One Research Article Miniaturized imaging devices have pushed the boundaries of point-of-care imaging, but existing mobile-phone-based imaging systems do not exploit the full potential of smart phones. This work demonstrates the use of simple imaging configurations to deliver superior image quality and the ability to handle a wide range of biological samples. Results presented in this work are from analysis of fluorescent beads under fluorescence imaging, as well as helminth eggs and freshwater mussel larvae under white light imaging. To demonstrate versatility of the systems, real time analysis and post-processing results of the sample count and sample size are presented in both still images and videos of flowing samples. Public Library of Science 2018-03-06 /pmc/articles/PMC5839566/ /pubmed/29509786 http://dx.doi.org/10.1371/journal.pone.0193797 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Shanmugam, Akshaya
Usmani, Mohammad
Mayberry, Addison
Perkins, David L.
Holcomb, Daniel E.
Imaging systems and algorithms to analyze biological samples in real-time using mobile phone microscopy
title Imaging systems and algorithms to analyze biological samples in real-time using mobile phone microscopy
title_full Imaging systems and algorithms to analyze biological samples in real-time using mobile phone microscopy
title_fullStr Imaging systems and algorithms to analyze biological samples in real-time using mobile phone microscopy
title_full_unstemmed Imaging systems and algorithms to analyze biological samples in real-time using mobile phone microscopy
title_short Imaging systems and algorithms to analyze biological samples in real-time using mobile phone microscopy
title_sort imaging systems and algorithms to analyze biological samples in real-time using mobile phone microscopy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839566/
https://www.ncbi.nlm.nih.gov/pubmed/29509786
http://dx.doi.org/10.1371/journal.pone.0193797
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