Computational sensing of herpes simplex virus using a cost-effective on-chip microscope
AffiliationUniv Arizona, Coll Opt Sci
MetadataShow full item record
PublisherNATURE PUBLISHING GROUP
CitationRay, A., Daloglu, M.U., Ho, J. et al. Computational sensing of herpes simplex virus using a cost-effective on-chip microscope. Sci Rep 7, 4856 (2017). https://doi.org/10.1038/s41598-017-05124-3
Rights© The Author(s) 2017. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License.
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AbstractCaused 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, similar to 30 mm(2). 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.
VersionFinal published version
SponsorsPresidential Early Career Award for Scientists and Engineers (PECASE); Army Research Office (ARO) [W911NF-13-1-0419, W911NF-13-1-0197]; ARO Life Sciences Division; National Science Foundation (NSF) CBET Division Biophotonics Program; NSF Emerging Frontiers in Research and Innovation (EFRI) Award; NSF EAGER Award; NSF INSPIRE Award; NSF Partnerships for Innovation: Building Innovation Capacity (PFI: BIC) Program; Howard Hughes Medical Institute(HHMI); Vodafone Americas Foundation; KAUST; National Science Foundation ; American Recovery and Reinvestment Act (ARRA); Office of Naval Research (ONR)
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