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

Handle URI:
http://hdl.handle.net/10754/625788
Title:
Computational sensing of herpes simplex virus using a cost-effective on-chip microscope
Authors:
Ray, Aniruddha; Daloglu, Mustafa Ugur; Ho, Joslynn; Torres, Avee; Mcleod, Euan ( 0000-0002-6327-3642 ) ; Ozcan, Aydogan ( 0000-0002-0717-683X )
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.
Citation:
Ray A, Daloglu MU, Ho J, Torres A, Mcleod E, et al. (2017) Computational sensing of herpes simplex virus using a cost-effective on-chip microscope. Scientific Reports 7. Available: http://dx.doi.org/10.1038/s41598-017-05124-3.
Publisher:
Springer Nature
Journal:
Scientific Reports
Issue Date:
3-Jul-2017
DOI:
10.1038/s41598-017-05124-3
Type:
Article
ISSN:
2045-2322
Sponsors:
The Ozcan Research Group at UCLA gratefully acknowledges the support of the Presidential Early Career Award for Scientists and Engineers (PECASE), the Army Research Office (ARO; W911NF-13-1-0419 and W911NF-13-1-0197), the ARO Life Sciences Division, the National Science Foundation (NSF) CBET Division Biophotonics Program, the NSF Emerging Frontiers in Research and Innovation (EFRI) Award, the NSF EAGER Award, NSF INSPIRE Award, NSF Partnerships for Innovation: Building Innovation Capacity (PFI:BIC) Program, Office of Naval Research (ONR), the Howard Hughes Medical Institute (HHMI), Vodafone Americas Foundation, and KAUST. This work is based upon research performed in a laboratory renovated by the National Science Foundation under Grant No. 0963183, which is an award funded under the American Recovery and Reinvestment Act of 2009 (ARRA). The authors acknowledge Dr. Wei Luo and Zach Ballad for their help in sample coating for SEM, Alborz Feizi for his help with the LabVIEW code, Dr. Daniel Shir for his help with the plate reader, and Derek Tseng for his help with the production of 3D CAD images.
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Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorRay, Aniruddhaen
dc.contributor.authorDaloglu, Mustafa Uguren
dc.contributor.authorHo, Joslynnen
dc.contributor.authorTorres, Aveeen
dc.contributor.authorMcleod, Euanen
dc.contributor.authorOzcan, Aydoganen
dc.date.accessioned2017-10-04T14:59:16Z-
dc.date.available2017-10-04T14:59:16Z-
dc.date.issued2017-07-03en
dc.identifier.citationRay A, Daloglu MU, Ho J, Torres A, Mcleod E, et al. (2017) Computational sensing of herpes simplex virus using a cost-effective on-chip microscope. Scientific Reports 7. Available: http://dx.doi.org/10.1038/s41598-017-05124-3.en
dc.identifier.issn2045-2322en
dc.identifier.doi10.1038/s41598-017-05124-3en
dc.identifier.urihttp://hdl.handle.net/10754/625788-
dc.description.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, ~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.en
dc.description.sponsorshipThe Ozcan Research Group at UCLA gratefully acknowledges the support of the Presidential Early Career Award for Scientists and Engineers (PECASE), the Army Research Office (ARO; W911NF-13-1-0419 and W911NF-13-1-0197), the ARO Life Sciences Division, the National Science Foundation (NSF) CBET Division Biophotonics Program, the NSF Emerging Frontiers in Research and Innovation (EFRI) Award, the NSF EAGER Award, NSF INSPIRE Award, NSF Partnerships for Innovation: Building Innovation Capacity (PFI:BIC) Program, Office of Naval Research (ONR), the Howard Hughes Medical Institute (HHMI), Vodafone Americas Foundation, and KAUST. This work is based upon research performed in a laboratory renovated by the National Science Foundation under Grant No. 0963183, which is an award funded under the American Recovery and Reinvestment Act of 2009 (ARRA). The authors acknowledge Dr. Wei Luo and Zach Ballad for their help in sample coating for SEM, Alborz Feizi for his help with the LabVIEW code, Dr. Daniel Shir for his help with the plate reader, and Derek Tseng for his help with the production of 3D CAD images.en
dc.publisherSpringer Natureen
dc.titleComputational sensing of herpes simplex virus using a cost-effective on-chip microscopeen
dc.typeArticleen
dc.identifier.journalScientific Reportsen
dc.contributor.institutionCalifornia NanoSystems Institute (CNSI), University of California, Los Angeles, CA, 90095, USAen
dc.contributor.institutionBioengineering Department, University of California, Los Angeles, CA, 90095, USAen
dc.contributor.institutionElectrical Engineering Department, University of California, Los Angeles, CA, 90095, USAen
dc.contributor.institutionDepartment of Physics, University of California, Los Angeles, CA, 90095, USAen
dc.contributor.institutionCollege of Optical Sciences, University of Arizona, Tucson, AZ, 85721, USAen
dc.contributor.institutionDepartment of Surgery, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USAen
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