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      Tracking moving objects through scattering media via speckle correlations

      research-article
      , ,
      Nature Communications
      Nature Publishing Group UK
      Imaging and sensing, Optical physics

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          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.

          Abstract

          Imaging though strongly scattering media is challenging and computationally intensive. Here, the authors show that tracking of moving objects can be achieved with minimal computational effort by combining cross-correlations of the measured speckle pattern at different times.

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          Most cited references39

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          Optical coherence tomography

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            Controlling waves in space and time for imaging and focusing in complex media

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              Phase retrieval algorithms: a comparison

              J Fienup (1982)
              Iterative algorithms for phase retrieval from intensity data are compared to gradient search methods. Both the problem of phase retrieval from two intensity measurements (in electron microscopy or wave front sensing) and the problem of phase retrieval from a single intensity measurement plus a non-negativity constraint (in astronomy) are considered, with emphasis on the latter. It is shown that both the error-reduction algorithm for the problem of a single intensity measurement and the Gerchberg-Saxton algorithm for the problem of two intensity measurements converge. The error-reduction algorithm is also shown to be closely related to the steepest-descent method. Other algorithms, including the input-output algorithm and the conjugate-gradient method, are shown to converge in practice much faster than the error-reduction algorithm. Examples are shown.
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                Author and article information

                Contributors
                y.jauregui-sanchez@exeter.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                1 October 2022
                1 October 2022
                2022
                : 13
                : 5779
                Affiliations
                GRID grid.8391.3, ISNI 0000 0004 1936 8024, Physics and Astronomy Department, , University of Exeter, ; Stocker Road, Exeter, EX4 4QL UK
                Author information
                http://orcid.org/0000-0002-3720-685X
                http://orcid.org/0000-0002-7163-6343
                Article
                33470
                10.1038/s41467-022-33470-y
                9526741
                36182942
                14601fdb-dbc9-4401-9ee8-781d66c250d7
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 March 2022
                : 16 September 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000266, RCUK | Engineering and Physical Sciences Research Council (EPSRC);
                Award ID: EP/S000631/1
                Award Recipient :
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                © The Author(s) 2022

                Uncategorized
                imaging and sensing,optical physics
                Uncategorized
                imaging and sensing, optical physics

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