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Memory effect assisted imaging through multimode optical fibres

Author

Listed:
  • Shuhui Li

    (University of Exeter
    Huazhong University of Science and Technology)

  • Simon A. R. Horsley

    (University of Exeter)

  • Tomáš Tyc

    (Faculty of Science, Masaryk University
    Institute of Scientific Instruments of CAS)

  • Tomáš Čižmár

    (Institute of Scientific Instruments of CAS
    Leibniz Institute of Photonic Technology)

  • David B. Phillips

    (University of Exeter)

Abstract

When light propagates through opaque material, the spatial information it holds becomes scrambled, but not necessarily lost. Two classes of techniques have emerged to recover this information: methods relying on optical memory effects, and transmission matrix (TM) approaches. Here we develop a general framework describing the nature of memory effects in structures of arbitrary geometry. We show how this framework, when combined with wavefront shaping driven by feedback from a guide-star, enables estimation of the TM of any such system. This highlights that guide-star assisted imaging is possible regardless of the type of memory effect a scatterer exhibits. We apply this concept to multimode fibres (MMFs) and identify a ‘quasi-radial’ memory effect. This allows the TM of an MMF to be approximated from only one end - an important step for micro-endoscopy. Our work broadens the applications of memory effects to a range of novel imaging and optical communication scenarios.

Suggested Citation

  • Shuhui Li & Simon A. R. Horsley & Tomáš Tyc & Tomáš Čižmár & David B. Phillips, 2021. "Memory effect assisted imaging through multimode optical fibres," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23729-1
    DOI: 10.1038/s41467-021-23729-1
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    Cited by:

    1. Miroslav Stibůrek & Petra Ondráčková & Tereza Tučková & Sergey Turtaev & Martin Šiler & Tomáš Pikálek & Petr Jákl & André Gomes & Jana Krejčí & Petra Kolbábková & Hana Uhlířová & Tomáš Čižmár, 2023. "110 μm thin endo-microscope for deep-brain in vivo observations of neuronal connectivity, activity and blood flow dynamics," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Noam Badt & Ori Katz, 2022. "Real-time holographic lensless micro-endoscopy through flexible fibers via fiber bundle distal holography," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

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