Computational sensing of herpes simplex virus using a cost-effective on-chip microscope

Abstract Caused by the herpes simplex virus (HSV), herpes is a viral infection that is one of the most widespread diseases worldwide. Here we present a computational sensing technique for specific detection of HSV using both viral immuno-specificity and the physical size range of the viruses. This l...

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Autores principales:	Aniruddha Ray, Mustafa Ugur Daloglu, Joslynn Ho, Avee Torres, Euan Mcleod, Aydogan Ozcan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d43421dab84041c3b75a9a0e8e6c627e
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spelling	oai:doaj.org-article:d43421dab84041c3b75a9a0e8e6c627e2021-12-02T12:31:47ZComputational sensing of herpes simplex virus using a cost-effective on-chip microscope10.1038/s41598-017-05124-32045-2322https://doaj.org/article/d43421dab84041c3b75a9a0e8e6c627e2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05124-3https://doaj.org/toc/2045-2322Abstract Caused by the herpes simplex virus (HSV), herpes is a viral infection that is one of the most widespread diseases worldwide. Here we present a computational sensing technique for specific detection of HSV using both viral immuno-specificity and the physical size range of the viruses. This label-free approach involves a compact and cost-effective holographic on-chip microscope and a surface-functionalized glass substrate prepared to specifically capture the target viruses. To enhance the optical signatures of individual viruses and increase their signal-to-noise ratio, self-assembled polyethylene glycol based nanolenses are rapidly formed around each virus particle captured on the substrate using a portable interface. Holographic shadows of specifically captured viruses that are surrounded by these self-assembled nanolenses are then reconstructed, and the phase image is used for automated quantification of the size of each particle within our large field-of-view, ~30 mm2. The combination of viral immuno-specificity due to surface functionalization and the physical size measurements enabled by holographic imaging is used to sensitively detect and enumerate HSV particles using our compact and cost-effective platform. This computational sensing technique can find numerous uses in global health related applications in resource-limited environments.Aniruddha RayMustafa Ugur DalogluJoslynn HoAvee TorresEuan McleodAydogan OzcanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Aniruddha Ray Mustafa Ugur Daloglu Joslynn Ho Avee Torres Euan Mcleod Aydogan Ozcan Computational sensing of herpes simplex virus using a cost-effective on-chip microscope
description	Abstract Caused by the herpes simplex virus (HSV), herpes is a viral infection that is one of the most widespread diseases worldwide. Here we present a computational sensing technique for specific detection of HSV using both viral immuno-specificity and the physical size range of the viruses. This label-free approach involves a compact and cost-effective holographic on-chip microscope and a surface-functionalized glass substrate prepared to specifically capture the target viruses. To enhance the optical signatures of individual viruses and increase their signal-to-noise ratio, self-assembled polyethylene glycol based nanolenses are rapidly formed around each virus particle captured on the substrate using a portable interface. Holographic shadows of specifically captured viruses that are surrounded by these self-assembled nanolenses are then reconstructed, and the phase image is used for automated quantification of the size of each particle within our large field-of-view, ~30 mm2. The combination of viral immuno-specificity due to surface functionalization and the physical size measurements enabled by holographic imaging is used to sensitively detect and enumerate HSV particles using our compact and cost-effective platform. This computational sensing technique can find numerous uses in global health related applications in resource-limited environments.
format	article
author	Aniruddha Ray Mustafa Ugur Daloglu Joslynn Ho Avee Torres Euan Mcleod Aydogan Ozcan
author_facet	Aniruddha Ray Mustafa Ugur Daloglu Joslynn Ho Avee Torres Euan Mcleod Aydogan Ozcan
author_sort	Aniruddha Ray
title	Computational sensing of herpes simplex virus using a cost-effective on-chip microscope
title_short	Computational sensing of herpes simplex virus using a cost-effective on-chip microscope
title_full	Computational sensing of herpes simplex virus using a cost-effective on-chip microscope
title_fullStr	Computational sensing of herpes simplex virus using a cost-effective on-chip microscope
title_full_unstemmed	Computational sensing of herpes simplex virus using a cost-effective on-chip microscope
title_sort	computational sensing of herpes simplex virus using a cost-effective on-chip microscope
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/d43421dab84041c3b75a9a0e8e6c627e
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_version_	1718394308298539008

Computational sensing of herpes simplex virus using a cost-effective on-chip microscope

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