Literature DB >> 30874657

Single-shot compressed optical-streaking ultra-high-speed photography.

Xianglei Liu, Jingdan Liu, Cheng Jiang, Fiorenzo Vetrone, Jinyang Liang.   

Abstract

Single-shot ultra-high-speed imaging is of great significance to capture transient phenomena in physics, biology, and chemistry in real time. Existing techniques, however, have a restricted application scope, a low sequence depth, or a limited pixel count. To overcome these limitations, we developed single-shot compressed optical-streaking ultra-high-speed photography (COSUP) with an imaging speed of 1.5 million frames per second, a sequence depth of 500 frames, and an (x,y) pixel count of 0.5 megapixels per frame. COSUP's single-shot ultra-high-speed imaging ability was demonstrated by recording single laser pulses illuminating through transmissive targets and by tracing a fast-moving object. As a universal imaging platform, COSUP is capable of increasing imaging speeds of a wide range of CCD and complementary metal-oxide-semiconductor cameras by four orders of magnitude. We envision COSUP to be applied in widespread applications in biomedicine and materials science.

Entities:  

Year:  2019        PMID: 30874657     DOI: 10.1364/OL.44.001387

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  4 in total

1.  Continuously streaming compressed high-speed photography using time delay integration.

Authors:  Jongchan Park; Liang Gao
Journal:  Optica       Date:  2021-12-16       Impact factor: 10.644

2.  Single-shot ultrafast imaging attaining 70 trillion frames per second.

Authors:  Peng Wang; Jinyang Liang; Lihong V Wang
Journal:  Nat Commun       Date:  2020-04-29       Impact factor: 14.919

3.  Snapshot multidimensional photography through active optical mapping.

Authors:  Jongchan Park; Xiaohua Feng; Rongguang Liang; Liang Gao
Journal:  Nat Commun       Date:  2020-11-05       Impact factor: 14.919

4.  Compressed ultrafast tomographic imaging by passive spatiotemporal projections.

Authors:  Yingming Lai; Ruibo Shang; Christian-Yves Côté; Xianglei Liu; Antoine Laramée; François Légaré; Geoffrey P Luke; Jinyang Liang
Journal:  Opt Lett       Date:  2021-04-01       Impact factor: 3.776

  4 in total

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