Imaging Properties of Large Field-of-View Quadratic Metalenses and Their Applications to Fingerprint Detection

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Imaging Properties of Large Field-of-View Quadratic Metalenses and Their Applications to Fingerprint Detection
Title:
Imaging Properties of Large Field-of-View Quadratic Metalenses and Their Applications to Fingerprint Detection
Other Titles:
ACS Photonics
Publication Date:
30 April 2021
Citation:
Lassalle, E., Mass, T. W. W., Eschimese, D., Baranikov, A. V., Khaidarov, E., Li, S., … Kuznetsov, A. I. (2021). Imaging Properties of Large Field-of-View Quadratic Metalenses and Their Applications to Fingerprint Detection. ACS Photonics, 8(5), 1457–1468. doi:10.1021/acsphotonics.1c00237
Abstract:
Dielectric metasurfaces, extremely thin nanostructured dielectric surfaces, hold promise to replace conventional refractive optics, such as lenses, due to their high performance and compactness. However, designing large field-of-view (FOV) metalenses, which are of particular importance when imaging relatively big objects at short distances, remains one of the most critical challenges. Recently, metalenses implementing a quadratic phase profile have been put forward to solve this problem with a single element, but despite their theoretical ability to provide 180° FOV, imaging over very large FOV has not been demonstrated yet. In this work, we provide an in-depth analysis of the imaging properties of quadratic metalenses and, in particular, show that due to their intrinsic barrel distortion or fish-eye effect, there is a fundamental trade-off between the FOV achievable in a given imaging configuration and the optical resolution of the metalens and/or the detector resolution. To illustrate how to harness the full potential of quadratic metalenses, we apply these considerations to the fingerprint detection problem and demonstrate experimentally the full imaging of a 5 mm fingerprint with features of the order of 100 μm, with a metalens ten times smaller in size and located at a distance of only 2.5 mm away from the object. This constitutes the most compact imaging system reported so far for fingerprint detection.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the National Research Foundation of Singapore - NRF Investigatorship
Grant Reference no. : NRF-NRFI2017-01

This research / project is supported by the A*STAR - A*STAR SERC Pharos program
Grant Reference no. : 152 73 00025

This research / project is supported by the A*STAR - AME Programmatic Grant
Grant Reference no. : A18A7b0058

Institution of Engineering and Technology A F Harvey Engineering Research Prize 2016
Description:
This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Photonics, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see http://dx.doi.org/10.1021/acsphotonics.1c00237
ISSN:
2330-4022
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