Literature DB >> 25903160

Nonlinear Behavior of the Autofluorescence Intensity on the Surface of Light-Scattering Biotissues and its Theoretical Proof.

Dmitry Rogatkin1, Irina Guseva, Liudmila Lapaeva.   

Abstract

In the up-to-date medical laser fluorescence spectroscopy (LFS) in vivo, there is a problem of quantification of fluorophores concentrations in optically-turbid biotissues by measurements of the laser induced autofluorescence flux on the surface of these tissues. One of the main problems is: whether the flux depends linearly or non-linearly on the concentration of fluorophores in tissues? The purpose of this work was both experimental and theoretical study of the character of dependencies between measured fluorescence intensities and fluorophores concentrations in optically-turbid media. In the experimental part of our study, measurements of the superficial fluorescence on phantoms at various known concentrations of fluorophores in them were carried out. As a result, experimental dependencies of registered intensities of the laser-induced autofluorescence emission were plotted against fluorophore concentrations. In the theoretical part of the study, the analytical solution for the fluorescence emission by Kokhanovsky's method based on the well-known two-flux Kubelka-Munk approach (KMA) was used. In addition, in our study the Kokhanovsky's method was modified by its association with our improved KMA, allowing us to receive exact analytical solutions for boundary intensities collected by optical probes. As a result, a set of theoretical curves describing the influence of fluorophore concentrations on the registered autofluorescence intensities was obtained, as well. Both experimental and theoretical results show a good qualitative agreement with each other. Also, these results demonstrate that the dependence of the fluorescence intensity on tissues' optical properties and on the concentration of fluorophores in light-scattering tissues can be both nonlinear and non-monotonic.

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Year:  2015        PMID: 25903160     DOI: 10.1007/s10895-015-1572-7

Source DB:  PubMed          Journal:  J Fluoresc        ISSN: 1053-0509            Impact factor:   2.217


  9 in total

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Authors:  Stephen C Kanick; Dominic J Robinson; Henricus J C M Sterenborg; Arjen Amelink
Journal:  Opt Lett       Date:  2012-03-01       Impact factor: 3.776

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Authors:  C M Gardner; S L Jacques; A J Welch
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Authors:  D A Rogatkin
Journal:  Med Tekh       Date:  2007 Mar-Apr

4.  Radiative properties of optically thick fluorescent turbid media.

Authors:  Alexander A Kokhanovsky
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2009-08       Impact factor: 2.129

5.  Drug quantification in turbid media by fluorescence imaging combined with light-absorption correction using white Monte Carlo simulations.

Authors:  Haiyan Xie; Haichun Liu; Pontus Svenmarker; Johan Axelsson; Can T Xu; Susanna Gräfe; Jesper Holm Lundeman; Haynes Pak Hay Cheng; Sune Svanberg; Niels Bendsoe; Peter E Andersen; Katarina Svanberg; Stefan Andersson-Engels
Journal:  J Biomed Opt       Date:  2011-06       Impact factor: 3.170

6.  Analytical solutions for diffuse fluorescence spectroscopy/imaging in biological tissues. Part I: zero and extrapolated boundary conditions.

Authors:  Kalyan Ram Ayyalasomayajula; Phaneendra K Yalavarthy
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2013-03-01       Impact factor: 2.129

7.  NAD(P)H and collagen as in vivo quantitative fluorescent biomarkers of epithelial precancerous changes.

Authors:  Irene Georgakoudi; Brian C Jacobson; Markus G Müller; Ellen E Sheets; Kamran Badizadegan; David L Carr-Locke; Christopher P Crum; Charles W Boone; Ramachandra R Dasari; Jacques Van Dam; Michael S Feld
Journal:  Cancer Res       Date:  2002-02-01       Impact factor: 12.701

8.  A modelling approach to the detection of subcutaneous tumours by haematoporphyrin-derivative fluorescence.

Authors:  W J van der Putten; M J van Gemert
Journal:  Phys Med Biol       Date:  1983-06       Impact factor: 3.609

9.  Quantification of PpIX concentration in basal cell carcinoma and squamous cell carcinoma models using spatial frequency domain imaging.

Authors:  Ulas Sunar; Daniel J Rohrbach; Janet Morgan; Natalie Zeitouni; Barbara W Henderson
Journal:  Biomed Opt Express       Date:  2013-03-06       Impact factor: 3.732

  9 in total

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