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Non-interferometric stand-alone single-shot holographic camera using reciprocal diffractive imaging

Author

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  • Jeonghun Oh

    (Korea Advanced Institute of Science and Technology (KAIST)
    KAIST Institute for Health Science and Technology)

  • Herve Hugonnet

    (Korea Advanced Institute of Science and Technology (KAIST)
    KAIST Institute for Health Science and Technology)

  • YongKeun Park

    (Korea Advanced Institute of Science and Technology (KAIST)
    KAIST Institute for Health Science and Technology
    Tomocube, Inc.)

Abstract

An ideal holographic camera measures the amplitude and phase of the light field so that the focus can be numerically adjusted after the acquisition, and depth information about an imaged object can be deduced. The performance of holographic cameras based on reference-assisted holography is significantly limited owing to their vulnerability to vibration and complex optical configurations. Non-interferometric holographic cameras can resolve these issues. However, existing methods require constraints on an object or measurement of multiple-intensity images. In this paper, we present a holographic image sensor that reconstructs the complex amplitude of scattered light from a single-intensity image using reciprocal diffractive imaging. We experimentally demonstrate holographic imaging of three-dimensional diffusive objects and suggest its potential applications by imaging a variety of samples under both static and dynamic conditions.

Suggested Citation

  • Jeonghun Oh & Herve Hugonnet & YongKeun Park, 2023. "Non-interferometric stand-alone single-shot holographic camera using reciprocal diffractive imaging," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40019-0
    DOI: 10.1038/s41467-023-40019-0
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    References listed on IDEAS

    as
    1. Yuan Hung Lo & Lingrong Zhao & Marcus Gallagher-Jones & Arjun Rana & Jared Lodico & Weikun Xiao & B. C. Regan & Jianwei Miao, 2018. "In situ coherent diffractive imaging," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    2. Ben Leshem & Rui Xu & Yehonatan Dallal & Jianwei Miao & Boaz Nadler & Dan Oron & Nirit Dudovich & Oren Raz, 2016. "Direct single-shot phase retrieval from the diffraction pattern of separated objects," Nature Communications, Nature, vol. 7(1), pages 1-6, April.
    3. Fucai Zhang & Bo Chen & Graeme R. Morrison & Joan Vila-Comamala & Manuel Guizar-Sicairos & Ian K. Robinson, 2016. "Phase retrieval by coherent modulation imaging," Nature Communications, Nature, vol. 7(1), pages 1-8, December.
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