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Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field

Author

Listed:
  • Qingbin Fan

    (Nanjing University
    Nanjing University
    Nanjing University)

  • Weizhu Xu

    (Nanjing University
    Nanjing University)

  • Xuemei Hu

    (Nanjing University
    Nanjing University)

  • Wenqi Zhu

    (National Institute of Standards and Technology
    University of Maryland)

  • Tao Yue

    (Nanjing University
    Nanjing University)

  • Cheng Zhang

    (Huazhong University of Science and Technology)

  • Feng Yan

    (Nanjing University
    Nanjing University)

  • Lu Chen

    (National Institute of Standards and Technology
    University of Maryland)

  • Henri J. Lezec

    (National Institute of Standards and Technology)

  • Yanqing Lu

    (Nanjing University
    Nanjing University)

  • Amit Agrawal

    (National Institute of Standards and Technology
    University of Maryland)

  • Ting Xu

    (Nanjing University
    Nanjing University)

Abstract

A unique bifocal compound eye visual system found in the now extinct trilobite, Dalmanitina socialis, may enable them to be sensitive to the light-field information and simultaneously perceive both close and distant objects in the environment. Here, inspired by the optical structure of their eyes, we demonstrate a nanophotonic light-field camera incorporating a spin-multiplexed bifocal metalens array capable of capturing high-resolution light-field images over a record depth-of-field ranging from centimeter to kilometer scale, simultaneously enabling macro and telephoto modes in a snapshot imaging. By leveraging a multi-scale convolutional neural network-based reconstruction algorithm, optical aberrations induced by the metalens are eliminated, thereby significantly relaxing the design and performance limitations on metasurface optics. The elegant integration of nanophotonic technology with computational photography achieved here is expected to aid development of future high-performance imaging systems.

Suggested Citation

  • Qingbin Fan & Weizhu Xu & Xuemei Hu & Wenqi Zhu & Tao Yue & Cheng Zhang & Feng Yan & Lu Chen & Henri J. Lezec & Yanqing Lu & Amit Agrawal & Ting Xu, 2022. "Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29568-y
    DOI: 10.1038/s41467-022-29568-y
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    References listed on IDEAS

    as
    1. Leonard C. Kogos & Yunzhe Li & Jianing Liu & Yuyu Li & Lei Tian & Roberto Paiella, 2020. "Plasmonic ommatidia for lensless compound-eye vision," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    2. Xingjie Ni & Alexander V. Kildishev & Vladimir M. Shalaev, 2013. "Metasurface holograms for visible light," Nature Communications, Nature, vol. 4(1), pages 1-6, December.
    3. Zhenyu Yang & Zhaokun Wang & Yuxi Wang & Xing Feng & Ming Zhao & Zhujun Wan & Liangqiu Zhu & Jun Liu & Yi Huang & Jinsong Xia & Martin Wegener, 2018. "Generalized Hartmann-Shack array of dielectric metalens sub-arrays for polarimetric beam profiling," Nature Communications, Nature, vol. 9(1), pages 1-7, December.
    4. Amir Arbabi & Ehsan Arbabi & Seyedeh Mahsa Kamali & Yu Horie & Seunghoon Han & Andrei Faraon, 2016. "Miniature optical planar camera based on a wide-angle metasurface doublet corrected for monochromatic aberrations," Nature Communications, Nature, vol. 7(1), pages 1-9, December.
    5. Ethan Tseng & Shane Colburn & James Whitehead & Luocheng Huang & Seung-Hwan Baek & Arka Majumdar & Felix Heide, 2021. "Neural nano-optics for high-quality thin lens imaging," Nature Communications, Nature, vol. 12(1), pages 1-7, December.
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