Zhu, Y.; Zeng, X.; Ling, W.; Zeng, L.; Zhao, Y.; Yang, J.; Li, J. Design for Ultrafast Raster Photography with a Large Amount of Spatio-Temporal Information. Photonics2024, 11, 24.
Zhu, Y.; Zeng, X.; Ling, W.; Zeng, L.; Zhao, Y.; Yang, J.; Li, J. Design for Ultrafast Raster Photography with a Large Amount of Spatio-Temporal Information. Photonics 2024, 11, 24.
Zhu, Y.; Zeng, X.; Ling, W.; Zeng, L.; Zhao, Y.; Yang, J.; Li, J. Design for Ultrafast Raster Photography with a Large Amount of Spatio-Temporal Information. Photonics2024, 11, 24.
Zhu, Y.; Zeng, X.; Ling, W.; Zeng, L.; Zhao, Y.; Yang, J.; Li, J. Design for Ultrafast Raster Photography with a Large Amount of Spatio-Temporal Information. Photonics 2024, 11, 24.
Abstract
Due to the lack of theoretical research on the amount of spatio-temporal information in the high-speed photography technologies, obtaining an optimized system with a best amount of spatio-temporal information remains a challenge, resulting in insufficient effective information and observation accuracy for ultrafast events. The paper presents an ultrafast raster imaging (URI) system with a large amount of spatio-temporal information based on the all-optical raster principle in single-shot. Specifically, we derive the optimal equation of spatial resolution and the expression for the maximum amount of spatio-temporal information that can achieve excellent performance for an URI system. It serves as a general guideline for getting a large amount of information design in the URI system. Compared to the existing URI systems, the advanced URI system exhibits an improvement of nearly 1 order of magnitude in the amount of spatio-temporal information, and more than twofold in spatial resolution. It shows a great potential for capturing intricate and non-repetitive ultrafast events on the femtosecond time scale.
Keywords
high-speed photography; spatial resolution; frame rate; the raster principle
Subject
Physical Sciences, Optics and Photonics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
