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

Computational sensing of herpes simplex virus using a cost-effective on-chip microscope.
Author Information (click to view)

Ray A, Daloglu MU, Ho J, Torres A, Mcleod E, Ozcan A,


Ray A, Daloglu MU, Ho J, Torres A, Mcleod E, Ozcan A, (click to view)

Ray A, Daloglu MU, Ho J, Torres A, Mcleod E, Ozcan A,

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Scientific reports 2017 07 077(1) 4856 doi 10.1038/s41598-017-05124-3
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 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.

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