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Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light
Significant 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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5343455/ https://www.ncbi.nlm.nih.gov/pubmed/28276489 http://dx.doi.org/10.1038/srep44157 |
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author | Daloglu, Mustafa Ugur Ray, Aniruddha Gorocs, Zoltan Xiong, Matthew Malik, Ravinder Bitan, Gal McLeod, Euan Ozcan, Aydogan |
author_facet | Daloglu, Mustafa Ugur Ray, Aniruddha Gorocs, Zoltan Xiong, Matthew Malik, Ravinder Bitan, Gal McLeod, Euan Ozcan, Aydogan |
author_sort | Daloglu, Mustafa Ugur |
collection | PubMed |
description | Significant 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. |
format | Online Article Text |
id | pubmed-5343455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53434552017-03-14 Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light Daloglu, Mustafa Ugur Ray, Aniruddha Gorocs, Zoltan Xiong, Matthew Malik, Ravinder Bitan, Gal McLeod, Euan Ozcan, Aydogan Sci Rep Article Significant 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. Nature Publishing Group 2017-03-09 /pmc/articles/PMC5343455/ /pubmed/28276489 http://dx.doi.org/10.1038/srep44157 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Daloglu, Mustafa Ugur Ray, Aniruddha Gorocs, Zoltan Xiong, Matthew Malik, Ravinder Bitan, Gal McLeod, Euan Ozcan, Aydogan Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light |
title | Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light |
title_full | Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light |
title_fullStr | Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light |
title_full_unstemmed | Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light |
title_short | Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light |
title_sort | computational on-chip imaging of nanoparticles and biomolecules using ultraviolet light |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5343455/ https://www.ncbi.nlm.nih.gov/pubmed/28276489 http://dx.doi.org/10.1038/srep44157 |
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