Presentation
3 October 2022 Space-time encoding metasurface-enabled compressive ultrahigh-speed imaging
Xingjie Ni, Yao Duan, Xingwang Zhang, Cheng-Yu Wang, Zhiwen Liu
Author Affiliations +
Abstract
Merging the cutting-edge metaphotonics and the compressive sensing technology, we demonstrate a compact single-shot imaging system enabled by a space-time encoding metasurface - an artificially engineered synthetic surface consisting of nanometer-sized elements that can locally manipulate the time delays of incoming light at the femtosecond scale - for capturing the dynamic properties of ultrafast phenomena and uncovering the unknown or hidden laws that govern such dynamics.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xingjie Ni, Yao Duan, Xingwang Zhang, Cheng-Yu Wang, and Zhiwen Liu "Space-time encoding metasurface-enabled compressive ultrahigh-speed imaging", Proc. SPIE PC12228, Ultrafast Nonlinear Imaging and Spectroscopy X, PC122280N (3 October 2022); https://doi.org/10.1117/12.2636430
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KEYWORDS
Computer programming

Ultrafast phenomena

Ultrafast imaging

Cameras

Compressed sensing

Femtosecond phenomena

Imaging systems

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