Two-dimensional optical spatial differentiation and high-contrast imaging
Author(s) -
Junxiao Zhou,
Haoliang Qian,
Junxiang Zhao,
Min Tang,
Qianyi Wu,
Ming Lei,
Hailu Luo,
Shuangchun Wen,
Shaochen Chen,
Zhaowei Liu
Publication year - 2020
Publication title -
national science review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.433
H-Index - 54
eISSN - 2095-5138
pISSN - 2053-714X
DOI - 10.1093/nsr/nwaa176
Subject(s) - broadband , dielectric , optics , computer science , signal processing , enhanced data rates for gsm evolution , contrast (vision) , signal (programming language) , image processing , power consumption , optical imaging , digital signal processing , power (physics) , optoelectronics , telecommunications , materials science , physics , computer hardware , artificial intelligence , image (mathematics) , quantum mechanics , programming language
Optical analog signal processing technology has been widely studied and applied in a variety of science and engineering fields, with the advantages of overcoming the low-speed and high-power consumption associated with its digital counterparts. Much attention has been given to emerging metasurface technology in the field of optical imaging and processing systems. Here, we demonstrate, for the first time, broadband two-dimensional spatial differentiation and high-contrast edge imaging based on a dielectric metasurface across the whole visible spectrum. This edge detection method works for both intensity and phase objects simply by inserting the metasurface into a commercial optical microscope. This highly efficient metasurface performing a basic optical differentiation operation opens up new opportunities in applications of fast, compactible and power-efficient ultrathin devices for data processing and biological imaging.
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