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Ultrafast and hypersensitive phase imaging of propagating internodal current flows in myelinated axons and electromagnetic pulses in dielectrics

Author

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  • Yide Zhang

    (California Institute of Technology)

  • Binglin Shen

    (California Institute of Technology
    Shenzhen University)

  • Tong Wu

    (California Institute of Technology
    Nanjing University of Aeronautics and Astronautics)

  • Jerry Zhao

    (California Institute of Technology)

  • Joseph C. Jing

    (California Institute of Technology)

  • Peng Wang

    (California Institute of Technology)

  • Kanomi Sasaki-Capela

    (Division of Biology and Biological Engineering, California Institute of Technology)

  • William G. Dunphy

    (Division of Biology and Biological Engineering, California Institute of Technology)

  • David Garrett

    (California Institute of Technology)

  • Konstantin Maslov

    (California Institute of Technology)

  • Weiwei Wang

    (University of Texas Southwestern Medical Center)

  • Lihong V. Wang

    (California Institute of Technology)

Abstract

Many ultrafast phenomena in biology and physics are fundamental to our scientific understanding but have not yet been visualized owing to the extreme speed and sensitivity requirements in imaging modalities. Two examples are the propagation of passive current flows through myelinated axons and electromagnetic pulses through dielectrics, which are both key to information processing in living organisms and electronic devices. Here, we demonstrate differentially enhanced compressed ultrafast photography (Diff-CUP) to directly visualize propagations of passive current flows at approximately 100 m/s along internodes, i.e., continuous myelinated axons between nodes of Ranvier, from Xenopus laevis sciatic nerves and of electromagnetic pulses at approximately 5 × 107 m/s through lithium niobate. The spatiotemporal dynamics of both propagation processes are consistent with the results from computational models, demonstrating that Diff-CUP can span these two extreme timescales while maintaining high phase sensitivity. With its ultrahigh speed (picosecond resolution), high sensitivity, and noninvasiveness, Diff-CUP provides a powerful tool for investigating ultrafast biological and physical phenomena.

Suggested Citation

  • Yide Zhang & Binglin Shen & Tong Wu & Jerry Zhao & Joseph C. Jing & Peng Wang & Kanomi Sasaki-Capela & William G. Dunphy & David Garrett & Konstantin Maslov & Weiwei Wang & Lihong V. Wang, 2022. "Ultrafast and hypersensitive phase imaging of propagating internodal current flows in myelinated axons and electromagnetic pulses in dielectrics," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33002-8
    DOI: 10.1038/s41467-022-33002-8
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    References listed on IDEAS

    as
    1. Jinyang Liang & Peng Wang & Liren Zhu & Lihong V. Wang, 2020. "Single-shot stereo-polarimetric compressed ultrafast photography for light-speed observation of high-dimensional optical transients with picosecond resolution," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    2. Liang Gao & Jinyang Liang & Chiye Li & Lihong V. Wang, 2014. "Single-shot compressed ultrafast photography at one hundred billion frames per second," Nature, Nature, vol. 516(7529), pages 74-77, December.
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    4. Cheng Wang & Mian Zhang & Xi Chen & Maxime Bertrand & Amirhassan Shams-Ansari & Sethumadhavan Chandrasekhar & Peter Winzer & Marko Lončar, 2018. "Integrated lithium niobate electro-optic modulators operating at CMOS-compatible voltages," Nature, Nature, vol. 562(7725), pages 101-104, October.
    5. Marc C. Ford & Olga Alexandrova & Lee Cossell & Annette Stange-Marten & James Sinclair & Conny Kopp-Scheinpflug & Michael Pecka & David Attwell & Benedikt Grothe, 2015. "Tuning of Ranvier node and internode properties in myelinated axons to adjust action potential timing," Nature Communications, Nature, vol. 6(1), pages 1-14, November.
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    Cited by:

    1. Patrick Kilcullen & Tsuneyuki Ozaki & Jinyang Liang, 2022. "Compressed ultrahigh-speed single-pixel imaging by swept aggregate patterns," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

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