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Single-shot ultrafast imaging attaining 70 trillion frames per second

Wang, Peng and Liang, Jinyang and Wang, Lihong V. (2020) Single-shot ultrafast imaging attaining 70 trillion frames per second. Nature Communications, 11 . Art. No. 2091. ISSN 2041-1723. PMCID PMC7190645. doi:10.1038/s41467-020-15745-4.

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Real-time imaging of countless femtosecond dynamics requires extreme speeds orders of magnitude beyond the limits of electronic sensors. Existing femtosecond imaging modalities either require event repetition or provide single-shot acquisition with no more than 10¹³ frames per second (fps) and 3 × 10² frames. Here, we report compressed ultrafast spectral photography (CUSP), which attains several new records in single-shot multi-dimensional imaging speeds. In active mode, CUSP achieves both 7 × 10¹³ fps and 10³ frames simultaneously by synergizing spectral encoding, pulse splitting, temporal shearing, and compressed sensing—enabling unprecedented quantitative imaging of rapid nonlinear light-matter interaction. In passive mode, CUSP provides four-dimensional (4D) spectral imaging at 0.5 × 10¹² fps, allowing the first single-shot spectrally resolved fluorescence lifetime imaging microscopy (SR-FLIM). As a real-time multi-dimensional imaging technology with the highest speeds and most frames, CUSP is envisioned to play instrumental roles in numerous pivotal scientific studies without the need for event repetition.

Item Type:Article
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URLURL TypeDescription CentralArticle
Wang, Lihong V.0000-0001-9783-4383
Additional Information:© 2020 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit Received 16 October 2019; Accepted 18 March 2020; Published 29 April 2020. The authors thank Dr. Liren Zhu for assistance with the reconstruction algorithm and Dr. Junhui Shi for providing the control program of the precision linear stage. This work was supported in part by National Institutes of Health grant R01 CA186567 (NIH Director’s Transformative Research Award). Data availability: The data that support the findings of this study are available from the corresponding author on reasonable request. Code availability: The reconstruction algorithm is described in detail in Methods and Supplementary Information. We have opted not to make the computer code publicly available because the code is proprietary and used for other projects. Author Contributions: P.W. conceived the system design, built the system, performed the experiments, developed the reconstruction algorithm and analyzed the data. J.L. contributed to the early stage development and experiment. L.V.W. initiated the concept and supervised the project. All authors wrote and revised the paper. Competing interests: The authors disclose the following patent applications: WO2016085571 A3 (L.V.W. and J.L.), U.S. Provisional 62/298,552 (L.V.W. and J.L.), and U.S. Provisional 62/904,442 (L.V.W. and P.W.).
Funding AgencyGrant Number
NIHR01 CA186567
Subject Keywords:Imaging and sensing; Imaging techniques; Ultrafast photonics
PubMed Central ID:PMC7190645
Record Number:CaltechAUTHORS:20200429-133034733
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Official Citation:Wang, P., Liang, J. & Wang, L. Single-shot ultrafast imaging attaining 70 trillion frames per second. Nat Commun 11, 2091 (2020).
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:102909
Deposited By: Tony Diaz
Deposited On:29 Apr 2020 20:41
Last Modified:16 Nov 2021 18:16

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