Localised all-optical detection of ultrasound through a multimode fibre using wavefront shaping

B. Keenlyside, M. Cherkashin, D. M. Marques, P. R.T. Munro, E. Z. Zhang, P. C. Beard, J. A. Guggenheim

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Performing high-resolution photoacoustic (PA) imaging through an endoscope could unlock a range of new biomedical and clinical applications. However, producing sub-mm scale ultrasonic sensors at the distal tip as required to detect PA signals is challenging using traditional piezoelectric technology. In the present study, an alternative approach involving using an all-optical Fabry-Pérot (FP) ultrasound sensor positioned at the distal end of a multi-mode fibre (MMF) is investigated. In a prototype benchtop system, it is shown that by using optical wavefront shaping to overcome the scrambling of light, a focussed interrogation laser beam can be delivered through an MMF and scanned to multiple pre-defined locations on a FP sensor to enable the spatially localised detection of ultrasound. This could pave the way to the development of sub-mm MMF based PA endoscopes for surgical guidance and other applications.

Original languageEnglish
Title of host publication2021 IEEE Photonics Conference (IPC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages2
ISBN (Electronic)9781665416016
ISBN (Print)9781665446761
Publication statusPublished - 13 Nov 2021
Event2021 IEEE Photonics Conference, IPC 2021 - Virtual, Online, Canada
Duration: 18 Oct 202121 Oct 2021

Publication series

NameIEEE Photonics Conference
ISSN (Print)2374-0140
ISSN (Electronic)2575-274X


Conference2021 IEEE Photonics Conference, IPC 2021
CityVirtual, Online

Bibliographical note

Funding Information:
This work was supported by funding from ERC

Publisher Copyright:
© 2021 IEEE.


  • endoscopy
  • photoacoustics
  • ultrasound
  • wavefront shaping

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics
  • Artificial Intelligence
  • Computer Networks and Communications


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