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Non-invasive focusing and imaging in scattering media with a fluorescence-based transmission matrix

Author

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  • Antoine Boniface

    (Sorbonne Université, École Normale Supérieure-Paris Sciences et Lettres (PSL) Research University, Centre National de la Recherche Scientifique (CNRS) UMR 8552)

  • Jonathan Dong

    (Sorbonne Université, École Normale Supérieure-Paris Sciences et Lettres (PSL) Research University, Centre National de la Recherche Scientifique (CNRS) UMR 8552
    Université Paris Sciences et Lettres (PSL), Centre National de la Recherche Scientifique (CNRS), Sorbonne Université, Université Paris-Diderot, Sorbonne Paris Cité)

  • Sylvain Gigan

    (Sorbonne Université, École Normale Supérieure-Paris Sciences et Lettres (PSL) Research University, Centre National de la Recherche Scientifique (CNRS) UMR 8552)

Abstract

In biological microscopy, light scattering represents the main limitation to image at depth. Recently, a set of wavefront shaping techniques has been developed in order to manipulate coherent light in strongly disordered materials. The Transmission Matrix approach has shown its capability to inverse the effect of scattering and efficiently focus light. In practice, the matrix is usually measured using an invasive detector or low-resolution acoustic guide stars. Here, we introduce a non-invasive and all-optical strategy based on linear fluorescence to reconstruct the transmission matrices, to and from a fluorescent object placed inside a scattering medium. It consists in demixing the incoherent patterns emitted by the object using low-rank factorizations and phase retrieval algorithms. We experimentally demonstrate the efficiency of this method through robust and selective focusing. Additionally, from the same measurements, it is possible to exploit memory effect correlations to image and reconstruct extended objects. This approach opens up a new route towards imaging in scattering media with linear or non-linear contrast mechanisms.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19696-8
    DOI: 10.1038/s41467-020-19696-8
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    Cited by:

    1. Tao Liu & Jiayuan Yu & Yuanjin Zheng & Chao Liu & Yanxiong Yang & Yunfei Qi, 2022. "A Nonlinear Multigrid Method for the Parameter Identification Problem of Partial Differential Equations with Constraints," Mathematics, MDPI, vol. 10(16), pages 1-12, August.
    2. 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.
    3. Y. Jauregui-Sánchez & H. Penketh & J. Bertolotti, 2022. "Tracking moving objects through scattering media via speckle correlations," Nature Communications, Nature, vol. 13(1), pages 1-6, December.

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