IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-33470-y.html
   My bibliography  Save this article

Tracking moving objects through scattering media via speckle correlations

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-33470-y
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-022-33470-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Rodrigo Gutiérrez-Cuevas & Dorian Bouchet & Julien Rosny & Sébastien M. Popoff, 2024. "Reaching the precision limit with tensor-based wavefront shaping," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    3. Yunmin Yang & Binbin Chu & Jiayi Cheng & Jiali Tang & Bin Song & Houyu Wang & Yao He, 2022. "Bacteria eat nanoprobes for aggregation-enhanced imaging and killing diverse microorganisms," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    4. Zhipeng Yu & Huanhao Li & Wannian Zhao & Po-Sheng Huang & Yu-Tsung Lin & Jing Yao & Wenzhao Li & Qi Zhao & Pin Chieh Wu & Bo Li & Patrice Genevet & Qinghua Song & Puxiang Lai, 2024. "High-security learning-based optical encryption assisted by disordered metasurface," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    5. Sungsam Kang & Yongwoo Kwon & Hojun Lee & Seho Kim & Jin Hee Hong & Seokchan Yoon & Wonshik Choi, 2023. "Tracing multiple scattering trajectories for deep optical imaging in scattering media," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    6. Florian Willomitzer & Prasanna V. Rangarajan & Fengqiang Li & Muralidhar M. Balaji & Marc P. Christensen & Oliver Cossairt, 2021. "Fast non-line-of-sight imaging with high-resolution and wide field of view using synthetic wavelength holography," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    7. 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.
    8. Molly A. May & Nicolas Barré & Kai K. Kummer & Michaela Kress & Monika Ritsch-Marte & Alexander Jesacher, 2021. "Fast holographic scattering compensation for deep tissue biological imaging," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    9. Md Sadman Sakib Rahman & Tianyi Gan & Emir Arda Deger & Çağatay Işıl & Mona Jarrahi & Aydogan Ozcan, 2023. "Learning diffractive optical communication around arbitrary opaque occlusions," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    10. Hongkuan Zhang & Qiyuan Wang & Mathias Fink & Guancong Ma, 2024. "Optimizing multi-user indoor sound communications with acoustic reconfigurable metasurfaces," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    11. 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.
    12. Dongyu Du & Xin Jin & Rujia Deng & Jinshi Kang & Hongkun Cao & Yihui Fan & Zhiheng Li & Haoqian Wang & Xiangyang Ji & Jingyan Song, 2022. "A boundary migration model for imaging within volumetric scattering media," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33470-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.