Accurate experimental detection method for characterizing superoscillatory lenses made from multiannular metasurfaces

Tong Wang; Tao Liu; Shuming Yang; Qiang Liu; Biyao Cheng

doi:10.1117/1.OE.57.1.017110

23 January 2018 Accurate experimental detection method for characterizing superoscillatory lenses made from multiannular metasurfaces

Tong Wang, Tao Liu, Shuming Yang, Qiang Liu, Biyao Cheng

Author Affiliations +

Optical Engineering, Vol. 57, Issue 1, 017110 (January 2018). https://doi.org/10.1117/1.OE.57.1.017110

Abstract

To verify the superoscillatory optical diffraction focusing characteristics of multiannular metasurfaces (MAMs), we propose an experimental detection method. It consists of two parts, the reflection positioning optical system and transmission detection imaging system. The best focal plane of the superoscillatory optical diffraction focus for the MAM can be precisely positioned through the reflection positioning optical system, which is the core part of the experimental detection method and is based on the structured illumination optical sectioning principle. A typical MAM is designed using vectorial angular spectrum (VAS) theory and a genetic algorithm. It was fabricated by focused ion-beam milling. The three-dimensional finite-difference time-domain method is used to verify the intensity distribution of the focus predicted by the VAS theory. For the designed 14-μm-diameter MAM at a wavelength of 640 nm, the simulation result broadly agrees with the experimental result obtained from the transmission microscopic imaging system. The proposed detection method can be used in fields such as optical diffraction focusing and subwavelength resolution imaging.

Citation Download Citation

Tong Wang, Tao Liu, Shuming Yang, Qiang Liu, and Biyao Cheng "Accurate experimental detection method for characterizing superoscillatory lenses made from multiannular metasurfaces," Optical Engineering 57(1), 017110 (23 January 2018). https://doi.org/10.1117/1.OE.57.1.017110

Received: 25 September 2017; Accepted: 28 December 2017; Published: 23 January 2018

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