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Issue 11, 2013
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Toward giga-pixel nanoscopy on a chip: a computational wide-field look at the nano-scale without the use of lenses

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Abstract

The development of lensfree on-chip microscopy in the past decade has opened up various new possibilities for biomedical imaging across ultra-large fields of view using compact, portable, and cost-effective devices. However, until recently, its ability to resolve fine features and detect ultra-small particles has not rivalled the capabilities of the more expensive and bulky laboratory-grade optical microscopes. In this Frontier Review, we highlight the developments over the last two years that have enabled computational lensfree holographic on-chip microscopy to compete with and, in some cases, surpass conventional bright-field microscopy in its ability to image nano-scale objects across large fields of view, yielding giga-pixel phase and amplitude images. Lensfree microscopy has now achieved a numerical aperture as high as 0.92, with a spatial resolution as small as 225 nm across a large field of view e.g., >20 mm2. Furthermore, the combination of lensfree microscopy with self-assembled nanolenses, forming nano-catenoid minimal surfaces around individual nanoparticles has boosted the image contrast to levels high enough to permit bright-field imaging of individual particles smaller than 100 nm. These capabilities support a number of new applications, including, for example, the detection and sizing of individual virus particles using field-portable computational on-chip microscopes.

Graphical abstract: Toward giga-pixel nanoscopy on a chip: a computational wide-field look at the nano-scale without the use of lenses

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Publication details

The article was received on 18 Feb 2013, accepted on 26 Mar 2013 and first published on 26 Mar 2013


Article type: Frontier
DOI: 10.1039/C3LC50222H
Citation: Lab Chip, 2013,13, 2028-2035
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    Toward giga-pixel nanoscopy on a chip: a computational wide-field look at the nano-scale without the use of lenses

    E. McLeod, W. Luo, O. Mudanyali, A. Greenbaum and A. Ozcan, Lab Chip, 2013, 13, 2028
    DOI: 10.1039/C3LC50222H

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