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Tracking moving objects through scattering media via speckle correlations

Author

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  • Y. Jauregui-Sánchez

    (University of Exeter)

  • H. Penketh

    (University of Exeter)

  • J. Bertolotti

    (University of Exeter)

Abstract

Scattering can rapidly degrade our ability to form an optical image, to the point where only speckle-like patterns can be measured. Truly non-invasive imaging through a strongly scattering obstacle is difficult, and usually reliant on a computationally intensive numerical reconstruction. In this work we show that, by combining the cross-correlations of the measured speckle pattern at different times, it is possible to track a moving object with minimal computational effort and over a large field of view.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33470-y
    DOI: 10.1038/s41467-022-33470-y
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    References listed on IDEAS

    as
    1. 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.
    2. Sébastien Popoff & Geoffroy Lerosey & Mathias Fink & Albert Claude Boccara & Sylvain Gigan, 2010. "Image transmission through an opaque material," Nature Communications, Nature, vol. 1(1), pages 1-5, December.
    3. Dong Wang & Sujit K. Sahoo & Xiangwen Zhu & Giorgio Adamo & Cuong Dang, 2021. "Non-invasive super-resolution imaging through dynamic scattering media," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    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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    Cited by:

    1. Qihang Zhang & Janaka C. Gamekkanda & Ajinkya Pandit & Wenlong Tang & Charles Papageorgiou & Chris Mitchell & Yihui Yang & Michael Schwaerzler & Tolutola Oyetunde & Richard D. Braatz & Allan S. Myerso, 2023. "Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE)," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Yaoyao Shi & Wei Sheng & Yangyang Fu & Youwen Liu, 2023. "Overlapping speckle correlation algorithm for high-resolution imaging and tracking of objects in unknown scattering media," Nature Communications, Nature, vol. 14(1), pages 1-8, December.

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