Jonathan Fan, Postdoctoral Faculty Sponsor
Reconfigurable Metasurface for Image Processing
2021; 21 (20): 8715-8722
Optical Fourier transform-based processing is an attractive technique due to the fast processing times and large-data rates. Furthermore, it has recently been demonstrated that certain Fourier-based processors can be realized in compact form factors using flat optics. The flat optics, however, have been demonstrated as static filters where the operator is fixed, limiting the applicability of the approach. Here, we demonstrate a reconfigurable metasurface that can be dynamically tuned to provide a range of processing modalities including bright-field imaging, low-pass and high-pass filtering, and second-order differentiation. The dynamically tunable metasurface can be directly combined with standard coherent imaging systems and operates with a numerical aperture up to 0.25 and over a 60 nm bandwidth. The ability to dynamically control light in the wave vector domain, while doing so in a compact form factor, may open new doors to applications in microscopy, machine vision, and sensing.
View details for DOI 10.1021/acs.nanolett.1c02838
View details for Web of Science ID 000713060900025
View details for PubMedID 34643401
- Flat optics for image differentiation NATURE PHOTONICS 2020; 14 (5): 316-+