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

Autor:	Ray A; Electrical Engineering Department, University of California, Los Angeles, CA, 90095, USA. rayani@ucla.edu.; Bioengineering Department, University of California, Los Angeles, CA, 90095, USA. rayani@ucla.edu.; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, 90095, USA. rayani@ucla.edu., Daloglu MU; Electrical Engineering Department, University of California, Los Angeles, CA, 90095, USA.; Bioengineering Department, University of California, Los Angeles, CA, 90095, USA.; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, 90095, USA., Ho J; Bioengineering Department, University of California, Los Angeles, CA, 90095, USA., Torres A; Department of Physics, University of California, Los Angeles, CA, 90095, USA., Mcleod E; College of Optical Sciences, University of Arizona, Tucson, AZ, 85721, USA., Ozcan A; Electrical Engineering Department, University of California, Los Angeles, CA, 90095, USA. ozcan@ucla.edu.; Bioengineering Department, University of California, Los Angeles, CA, 90095, USA. ozcan@ucla.edu.; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, 90095, USA. ozcan@ucla.edu.; Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA. ozcan@ucla.edu.
Jazyk:	angličtina
Zdroj:	Scientific reports [Sci Rep] 2017 Jul 07; Vol. 7 (1), pp. 4856. Date of Electronic Publication: 2017 Jul 07.
DOI:	10.1038/s41598-017-05124-3
Abstrakt:	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 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.
Databáze:	MEDLINE
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