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Semi-random multicore fibre design for adaptive multiphoton endoscopy

Kim, Youngchan, Warren, Sean, Favero, Fernando, Stone, James, Clegg, James, Neil, Mark, Paterson, Carl, Knight, Jonathan, French, Paul and Dunsby, Chris (2018) Semi-random multicore fibre design for adaptive multiphoton endoscopy Optics Express, 26 (3).

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Abstract

This paper reports the development, modelling and application of a semi-random multicore fibre (MCF) design for adaptive multiphoton endoscopy. The MCF was constructed from 55 sub-units, each comprising 7 single mode cores, in a hexagonally close-packed lattice where each sub-unit had a random angular orientation. The resulting fibre had 385 single mode cores and was double-clad for proximal detection of multiphoton excited fluorescence. The random orientation of each sub-unit in the fibre reduces the symmetry of the positions of the cores in the MCF, reducing the intensity of higher diffracted orders away from the central focal spot formed at the distal tip of the fibre and increasing the maximum size of object that can be imaged. The performance of the MCF was demonstrated by imaging fluorescently labelled beads with both distal and proximal fluorescence detection and pollen grains with distal fluorescence detection. We estimate that the number of independent resolution elements in the final image – measured as the half-maximum area of the two-photon point spread function divided by the area imaged – to be ~3200.

Item Type: Article
Divisions : Faculty of Health and Medical Sciences > School of Biosciences and Medicine
Authors :
NameEmailORCID
Kim, Youngchanyoungchan.kim@surrey.ac.uk
Warren, Sean
Favero, Fernando
Stone, James
Clegg, James
Neil, Mark
Paterson, Carl
Knight, Jonathan
French, Paul
Dunsby, Chris
Date : 2 February 2018
Funders : EPSRC
DOI : 10.1364/OE.26.003661
Grant Title : Engineering and Physical Sciences Research Council Grant
Copyright Disclaimer : Journal © 2018. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Depositing User : James Marshall
Date Deposited : 29 Jun 2020 08:38
Last Modified : 29 Jun 2020 08:38
URI: http://epubs.surrey.ac.uk/id/eprint/858078

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