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dc.contributor.authorDaloglu, Mustafa Ugur
dc.contributor.authorRay, Aniruddha
dc.contributor.authorGorocs, Zoltan
dc.contributor.authorXiong, Matthew
dc.contributor.authorMalik, Ravinder
dc.contributor.authorBitan, Gal
dc.contributor.authorMcLeod, Euan
dc.contributor.authorOzcan, Aydogan
dc.date.accessioned2017-04-21T18:46:58Z
dc.date.available2017-04-21T18:46:58Z
dc.date.issued2017-03-09
dc.identifier.citationComputational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light 2017, 7:44157 Scientific Reportsen
dc.identifier.issn2045-2322
dc.identifier.pmid28276489
dc.identifier.doi10.1038/srep44157
dc.identifier.urihttp://hdl.handle.net/10150/623196
dc.description.abstractSignificant progress in characterization of nanoparticles and biomolecules was enabled by the development of advanced imaging equipment with extreme spatial-resolution and sensitivity. To perform some of these analyses outside of well-resourced laboratories, it is necessary to create robust and cost-effective alternatives to existing high-end laboratory-bound imaging and sensing equipment. Towards this aim, we have designed a holographic on-chip microscope operating at an ultraviolet illumination wavelength (UV) of 266 nm. The increased forward scattering from nanoscale objects at this short wavelength has enabled us to detect individual sub-30 nm nanoparticles over a large field-of- view of > 16 mm(2) using an on-chip imaging platform, where the sample is placed at <= 0.5 mm away from the active area of an opto-electronic sensor-array, without any lenses in between. The strong absorption of this UV wavelength by biomolecules including nucleic acids and proteins has further enabled high-contrast imaging of nanoscopic aggregates of biomolecules, e.g., of enzyme Cu/Zn-superoxide dismutase, abnormal aggregation of which is linked to amyotrophic lateral sclerosis (ALS)-a fatal neurodegenerative disease. This UV-based wide-field computational imaging platform could be valuable for numerous applications in biomedical sciences and environmental monitoring, including disease diagnostics, viral load measurements as well as air-and water-quality assessment.
dc.description.sponsorshipArmy 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; Office of Naval Research (ONR); National Institutes of Health (NIH); Howard Hughes Medical Institute (HHMI); Vodafone Americas Foundation; Vodafone Americas Foundation, the Mary Kay Foundation; Steven & Alexandra Cohen Foundation; KAUST; RGK Foundation [20143057]; National Science Foundation [0963183]; American Recovery and Reinvestment Act of 2009 (ARRA)en
dc.language.isoenen
dc.publisherNATURE PUBLISHING GROUPen
dc.relation.urlhttp://www.nature.com/articles/srep44157en
dc.rightsCopyright © The Author(s) 2017. This work is licensed under a Creative Commons Attribution 4.0 International License.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleComputational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Lighten
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Coll Optic Scien
dc.identifier.journalScientific Reportsen
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
refterms.dateFOA2018-06-28T23:58:15Z
html.description.abstractSignificant progress in characterization of nanoparticles and biomolecules was enabled by the development of advanced imaging equipment with extreme spatial-resolution and sensitivity. To perform some of these analyses outside of well-resourced laboratories, it is necessary to create robust and cost-effective alternatives to existing high-end laboratory-bound imaging and sensing equipment. Towards this aim, we have designed a holographic on-chip microscope operating at an ultraviolet illumination wavelength (UV) of 266 nm. The increased forward scattering from nanoscale objects at this short wavelength has enabled us to detect individual sub-30 nm nanoparticles over a large field-of- view of > 16 mm(2) using an on-chip imaging platform, where the sample is placed at <= 0.5 mm away from the active area of an opto-electronic sensor-array, without any lenses in between. The strong absorption of this UV wavelength by biomolecules including nucleic acids and proteins has further enabled high-contrast imaging of nanoscopic aggregates of biomolecules, e.g., of enzyme Cu/Zn-superoxide dismutase, abnormal aggregation of which is linked to amyotrophic lateral sclerosis (ALS)-a fatal neurodegenerative disease. This UV-based wide-field computational imaging platform could be valuable for numerous applications in biomedical sciences and environmental monitoring, including disease diagnostics, viral load measurements as well as air-and water-quality assessment.


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Copyright © The Author(s) 2017. This work is licensed under a Creative Commons Attribution 4.0 International License.
Except where otherwise noted, this item's license is described as Copyright © The Author(s) 2017. This work is licensed under a Creative Commons Attribution 4.0 International License.