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Single pixel imaging at megahertz switching rates via cyclic Hadamard masks

Author

Listed:
  • Evgeny Hahamovich

    (Technion – Israel Institute of Technology)

  • Sagi Monin

    (Technion – Israel Institute of Technology)

  • Yoav Hazan

    (Technion – Israel Institute of Technology)

  • Amir Rosenthal

    (Technion – Israel Institute of Technology)

Abstract

Optical imaging is commonly performed with either a camera and wide-field illumination or with a single detector and a scanning collimated beam; unfortunately, these options do not exist at all wavelengths. Single-pixel imaging offers an alternative that can be performed with a single detector and wide-field illumination, potentially enabling imaging applications in which the detection and illumination technologies are immature. However, single-pixel imaging currently suffers from low imaging rates owing to its reliance on configurable spatial light modulators, generally limited to 22 kHz rates. We develop an approach for rapid single-pixel imaging which relies on cyclic patterns coded onto a spinning mask and demonstrate it for in vivo imaging of C. elegans worms. Spatial modulation rates of up to 2.4 MHz, imaging rates of up to 72 fps, and image-reconstruction times of down to 1.5 ms are reported, enabling real-time visualization of dynamic objects.

Suggested Citation

  • Evgeny Hahamovich & Sagi Monin & Yoav Hazan & Amir Rosenthal, 2021. "Single pixel imaging at megahertz switching rates via cyclic Hadamard masks," Nature Communications, Nature, vol. 12(1), pages 1-6, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24850-x
    DOI: 10.1038/s41467-021-24850-x
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    Cited by:

    1. Yibo Xu & Liyang Lu & Vishwanath Saragadam & Kevin F. Kelly, 2024. "A compressive hyperspectral video imaging system using a single-pixel detector," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. 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.
    3. Yinqi Wang & Kun Huang & Jianan Fang & Ming Yan & E Wu & Heping Zeng, 2023. "Mid-infrared single-pixel imaging at the single-photon level," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

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