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Raman imaging through a single multimode fibre

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Dholakia_2017_OE_Raman_CCBY_VoR.pdf (4.163Mb)
Date
12/06/2017
Author
Gusachenko, Ivan
Chen, Mingzhou
Dholakia, Kishan
Funder
EPSRC
European Commission
European Commission
European Commission
Grant ID
EP/J01771X/1
317744
115337
707084
Keywords
QC Physics
NDAS
Metadata
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Abstract
Vibrational spectroscopy is a widespread, powerful method of recording the spectra of constituent molecules within a sample in a label-free manner. As an example, Raman spectroscopy has major applications in materials science, biomedical analysis and clinical studies. The need to access deep tissues and organs in vivo has triggered major advances in fibre Raman probes that are compatible with endoscopic settings. However, imaging in confined geometries still remains out of reach for the current state of art fibre Raman systems without compromising the compactness and flexibility. Here we demonstrate Raman spectroscopic imaging via complex correction in single multimode fibre without using any additional optics and filters in the probe design. Our approach retains the information content typical to traditional fibre bundle imaging, yet within an ultra-thin footprint of diameter 125 µm which is the thinnest Raman imaging probe realised to date. We are able to acquire Raman images, including for bacteria samples, with fields of view exceeding 200 µm in diameter.
Citation
Gusachenko , I , Chen , M & Dholakia , K 2017 , ' Raman imaging through a single multimode fibre ' , Optics Express , vol. 25 , no. 12 , pp. 13782-13798 . https://doi.org/10.1364/OE.25.013782
Publication
Optics Express
Status
Peer reviewed
DOI
https://doi.org/10.1364/OE.25.013782
ISSN
1094-4087
Type
Journal article
Rights
Copyright 2017. 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
Description
UK Engineering and Physical Sciences Research Council (EPSRC) (EP/J01771/X); European Union project FAMOS (FP7 ICT no. 317744); PreDiCT-TB consortium (IMI 115337); European Union’s Horizon 2020 Marie Sklodowska-Curie Actions (MSCA) (707084).
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/11465

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