Computational optical imaging with a photonic lantern

Debaditya Choudhury, Duncan K. McNicholl, Audrey Repetti, Itandehui Gris-Sánchez, Shuhui Li, David B. Phillips, Graeme Whyte, Tim A. Birks, Yves Wiaux and Robert R. Thomson ()
Additional contact information
Debaditya Choudhury: Heriot-Watt University
Duncan K. McNicholl: Heriot-Watt University
Audrey Repetti: Heriot-Watt University
Itandehui Gris-Sánchez: University of Bath
Shuhui Li: Huazhong University of Science and Technology
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

Nature Communications, 2020, vol. 11, issue 1, 1-9

Abstract: 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.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-020-18818-6 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18818-6

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-020-18818-6

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().