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3 October 2024 Ultrafast imaging enabled by spatiotemporal encoding
Tunan Xia, Lidan Zhang, Chen Zhou, Cheng-Yu Wang, Yao Duan, Xingwang Zhang, Xingjie Ni, Zhiwen Liu
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Proceedings Volume 13139, Ultrafast Nonlinear Imaging and Spectroscopy XII; 1313906 (2024) https://doi.org/10.1117/12.3028673
Event: Optical Engineering + Applications, 2024, San Diego, California, United States
Abstract
High speed optical imaging is a critical tool for the observation of transient, nonrepeatable phenomena. In this talk, we discuss our recent progress on a spatiotemporally encoded ultrafast imaging system. Our approach involves recording of ultrafast events encoded using nano – scribed spatiotemporal masks on a slow camera. The captured data is then reconstructed into a sequence of ultrafast frames via a U – net based deep learning model. We will present both simulation and experimental results.
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Tunan Xia, Lidan Zhang, Chen Zhou, Cheng-Yu Wang, Yao Duan, Xingwang Zhang, Xingjie Ni, and Zhiwen Liu "Ultrafast imaging enabled by spatiotemporal encoding", Proc. SPIE 13139, Ultrafast Nonlinear Imaging and Spectroscopy XII, 1313906 (3 October 2024); https://doi.org/10.1117/12.3028673
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KEYWORDS
Ultrafast imaging
Cameras
Deep learning
Imaging systems
Optical imaging
Ultrafast phenomena
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