IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-18818-6.html
   My bibliography  Save this article

Computational optical imaging with a photonic lantern

Author

Listed:
  • Debaditya Choudhury

    (Heriot-Watt University
    University of Edinburgh)

  • Duncan K. McNicholl

    (Heriot-Watt University
    University of Edinburgh)

  • Audrey Repetti

    (Heriot-Watt University
    Heriot-Watt University)

  • Itandehui Gris-Sánchez

    (University of Bath
    Universitat Politècnica de València)

  • Shuhui Li

    (Huazhong University of Science and Technology
    University of Exeter)

  • David B. Phillips

    (University of Exeter)

  • Graeme Whyte

    (Heriot-Watt University)

  • Tim A. Birks

    (University of Bath)

  • Yves Wiaux

    (Heriot-Watt University)

  • Robert R. Thomson

    (Heriot-Watt University
    University of Edinburgh)

Abstract

The thin and flexible nature of optical fibres often makes them the ideal technology to view biological processes in-vivo, but current microendoscopic approaches are limited in spatial resolution. Here, we demonstrate a route to high resolution microendoscopy using a multicore fibre (MCF) with an adiabatic multimode-to-single-mode “photonic lantern” transition formed at the distal end by tapering. We show that distinct multimode patterns of light can be projected from the output of the lantern by individually exciting the single-mode MCF cores, and that these patterns are highly stable to fibre movement. This capability is then exploited to demonstrate a form of single-pixel imaging, where a single pixel detector is used to detect the fraction of light transmitted through the object for each multimode pattern. A custom computational imaging algorithm we call SARA-COIL is used to reconstruct the object using only the pre-measured multimode patterns themselves and the detector signals.

Suggested Citation

  • Debaditya Choudhury & Duncan K. McNicholl & Audrey Repetti & Itandehui Gris-Sánchez & Shuhui Li & David B. Phillips & Graeme Whyte & Tim A. Birks & Yves Wiaux & Robert R. Thomson, 2020. "Computational optical imaging with a photonic lantern," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18818-6
    DOI: 10.1038/s41467-020-18818-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-18818-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-020-18818-6?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
    ---><---

    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:11:y:2020:i:1:d:10.1038_s41467-020-18818-6. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.