Fibre-optic probe for fluorescence diagnostics with blood influence compensation

Evgeny A. Zherebtsov, Viktor V. Dremin, Elena V. Zharkikh, Angelina Zherebtsova, Ilya Rafailov, Andrey V. Dunaev, Edik U. Rafailov, Natalia Bazieva, Valery V. Tuchin, Kirill V. Larin (Editor), Martin J. Leahy (Editor), Ruikang K. Wang (Editor)

Research output: Unpublished contribution to conferenceOtherpeer-review


To minimise the influence of blood content on the fluorescence measurements in vivo, a fibre optical probe combining fluorescence and diffuse reflectance measurements was developed. For the inverse solution of the blood content recovery, a set of neural networks trained by the Monte Carlo generated learning set was used. An approach of fluorescence measurements triggered by simultaneous real-time measurements of blood content in living tissue during moderate changes in contact pressure of the optic probe is proposed. The method allows one to decrease the necessary pressure on the probe as well as increase the repeatability of the measurements. The developed approach was verified in a series of experiments on volunteers with fluorescence excitation at 365 nm and 450 nm. The proposed technology is of particular interest in the development of new fluorescence-based optical biopsy systems.
Original languageEnglish
Publication statusPublished - 26 Feb 2018
EventDynamics and Fluctuations in Biomedical Photonics XV - San Francisco, United States
Duration: 27 Jan 20181 Feb 2018


ConferenceDynamics and Fluctuations in Biomedical Photonics XV

Bibliographical note

Copyright 2018 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

Funding: European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 703145. Academyof Finland (grant 296408), RFBR according to the research project №18-02-00669 and grant of the President of the RussianFederation for state support of young Russian scientists № MK-3400.2018.8


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