Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light
AuthorDaloglu, Mustafa Ugur
AffiliationUniv Arizona, Coll Optic Sci
MetadataShow full item record
PublisherNATURE PUBLISHING GROUP
CitationComputational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light 2017, 7:44157 Scientific Reports
RightsThis work is licensed under a Creative Commons Attribution 4.0 International License.
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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.
VersionFinal published version
SponsorsArmy 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 ; National Science Foundation ; American Recovery and Reinvestment Act of 2009 (ARRA)
- Nanoscale imaging using deep ultraviolet digital holographic microscopy.
- Authors: Faridian A, Hopp D, Pedrini G, Eigenthaler U, Hirscher M, Osten W
- Issue date: 2010 Jun 21
- Toward giga-pixel nanoscopy on a chip: a computational wide-field look at the nano-scale without the use of lenses.
- Authors: McLeod E, Luo W, Mudanyali O, Greenbaum A, Ozcan A
- Issue date: 2013 Jun 7
- High-throughput screening of large volumes of whole blood using structured illumination and fluorescent on-chip imaging.
- Authors: Arpali SA, Arpali C, Coskun AF, Chiang HH, Ozcan A
- Issue date: 2012 Dec 7
- Molecular imaging of brain lipid environment of lymphocytes in amyotrophic lateral sclerosis using magnetic resonance imaging and SECARS microscopy.
- Authors: Machtoub L, Bataveljić D, Andjus PR
- Issue date: 2011
- Automated longitudinal monitoring of in vivo protein aggregation in neurodegenerative disease C. elegans models.
- Authors: Cornaglia M, Krishnamani G, Mouchiroud L, Sorrentino V, Lehnert T, Auwerx J, Gijs MA
- Issue date: 2016 Feb 9