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Large field-of-view non-invasive imaging through scattering layers using fluctuating random illumination

Author

Listed:
  • Lei Zhu

    (ENS–Université PSL, CNRS, Sorbonne Université, College de France
    Xidian University)

  • Fernando Soldevila

    (ENS–Université PSL, CNRS, Sorbonne Université, College de France)

  • Claudio Moretti

    (ENS–Université PSL, CNRS, Sorbonne Université, College de France)

  • Alexandra d’Arco

    (ENS–Université PSL, CNRS, Sorbonne Université, College de France)

  • Antoine Boniface

    (ENS–Université PSL, CNRS, Sorbonne Université, College de France)

  • Xiaopeng Shao

    (Xidian University)

  • Hilton B. Aguiar

    (ENS–Université PSL, CNRS, Sorbonne Université, College de France)

  • Sylvain Gigan

    (ENS–Université PSL, CNRS, Sorbonne Université, College de France)

Abstract

Non-invasive optical imaging techniques are essential diagnostic tools in many fields. Although various recent methods have been proposed to utilize and control light in multiple scattering media, non-invasive optical imaging through and inside scattering layers across a large field of view remains elusive due to the physical limits set by the optical memory effect, especially without wavefront shaping techniques. Here, we demonstrate an approach that enables non-invasive fluorescence imaging behind scattering layers with field-of-views extending well beyond the optical memory effect. The method consists in demixing the speckle patterns emitted by a fluorescent object under variable unknown random illumination, using matrix factorization and a novel fingerprint-based reconstruction. Experimental validation shows the efficiency and robustness of the method with various fluorescent samples, covering a field of view up to three times the optical memory effect range. Our non-invasive imaging technique is simple, neither requires a spatial light modulator nor a guide star, and can be generalized to a wide range of incoherent contrast mechanisms and illumination schemes.

Suggested Citation

  • Lei Zhu & Fernando Soldevila & Claudio Moretti & Alexandra d’Arco & Antoine Boniface & Xiaopeng Shao & Hilton B. Aguiar & Sylvain Gigan, 2022. "Large field-of-view non-invasive imaging through scattering layers using fluctuating random illumination," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29166-y
    DOI: 10.1038/s41467-022-29166-y
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    References listed on IDEAS

    as
    1. Ori Katz & François Ramaz & Sylvain Gigan & Mathias Fink, 2019. "Controlling light in complex media beyond the acoustic diffraction-limit using the acousto-optic transmission matrix," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    2. Berry, Michael W. & Browne, Murray & Langville, Amy N. & Pauca, V. Paul & Plemmons, Robert J., 2007. "Algorithms and applications for approximate nonnegative matrix factorization," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 155-173, September.
    3. Jacopo Bertolotti & Elbert G. van Putten & Christian Blum & Ad Lagendijk & Willem L. Vos & Allard P. Mosk, 2012. "Non-invasive imaging through opaque scattering layers," Nature, Nature, vol. 491(7423), pages 232-234, November.
    4. Antoine Boniface & Jonathan Dong & Sylvain Gigan, 2020. "Non-invasive focusing and imaging in scattering media with a fluorescence-based transmission matrix," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
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