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Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties

Optical diagnostics methods are significantly appealing in biological applications since they are non-destructive, safe, and minimally invasive. Laser-induced fluorescence is a promising optical spectrochemical analytical technique widely employed for tissue classification through molecular analysis...

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Autores principales: Hamdy, Omnia, Abdel-Salam, Zienab, Abdel-Harith, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689259/
https://www.ncbi.nlm.nih.gov/pubmed/36428905
http://dx.doi.org/10.3390/diagnostics12112846
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author Hamdy, Omnia
Abdel-Salam, Zienab
Abdel-Harith, Mohamed
author_facet Hamdy, Omnia
Abdel-Salam, Zienab
Abdel-Harith, Mohamed
author_sort Hamdy, Omnia
collection PubMed
description Optical diagnostics methods are significantly appealing in biological applications since they are non-destructive, safe, and minimally invasive. Laser-induced fluorescence is a promising optical spectrochemical analytical technique widely employed for tissue classification through molecular analysis of the studied samples after excitation with appropriate short-wavelength laser light. On the other hand, diffuse optics techniques are used for tissue monitoring and differentiation based on their absorption and scattering characteristics in the red to the near-infrared spectra. Therefore, it is strongly foreseen to obtain promising results by combining these techniques. In the present work, tissues under different conditions (hydrated/dry skin and native/boiled adipose fat) were distinguished according to their fluorescence emission, absorption, and scattering properties. The selected tissues’ optical absorption and scattering parameters were determined via Kubelka–Munk mathematical model according to the experimental tissue reflectance and transmittance measurements. Such measurements were obtained using an optical configuration of integrating sphere and spectrometer at different laser wavelengths (808, 830, and 980 nm). Moreover, the diffusion equation was solved for the fluence rate at the sample surface using the finite element method. Furthermore, the accuracy of the obtained spectroscopic measurements was evaluated using partial least squares regression statistical analysis with 0.87 and 0.89 R-squared values for skin and adipose fat, respectively.
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spelling pubmed-96892592022-11-25 Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties Hamdy, Omnia Abdel-Salam, Zienab Abdel-Harith, Mohamed Diagnostics (Basel) Article Optical diagnostics methods are significantly appealing in biological applications since they are non-destructive, safe, and minimally invasive. Laser-induced fluorescence is a promising optical spectrochemical analytical technique widely employed for tissue classification through molecular analysis of the studied samples after excitation with appropriate short-wavelength laser light. On the other hand, diffuse optics techniques are used for tissue monitoring and differentiation based on their absorption and scattering characteristics in the red to the near-infrared spectra. Therefore, it is strongly foreseen to obtain promising results by combining these techniques. In the present work, tissues under different conditions (hydrated/dry skin and native/boiled adipose fat) were distinguished according to their fluorescence emission, absorption, and scattering properties. The selected tissues’ optical absorption and scattering parameters were determined via Kubelka–Munk mathematical model according to the experimental tissue reflectance and transmittance measurements. Such measurements were obtained using an optical configuration of integrating sphere and spectrometer at different laser wavelengths (808, 830, and 980 nm). Moreover, the diffusion equation was solved for the fluence rate at the sample surface using the finite element method. Furthermore, the accuracy of the obtained spectroscopic measurements was evaluated using partial least squares regression statistical analysis with 0.87 and 0.89 R-squared values for skin and adipose fat, respectively. MDPI 2022-11-17 /pmc/articles/PMC9689259/ /pubmed/36428905 http://dx.doi.org/10.3390/diagnostics12112846 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hamdy, Omnia
Abdel-Salam, Zienab
Abdel-Harith, Mohamed
Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties
title Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties
title_full Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties
title_fullStr Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties
title_full_unstemmed Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties
title_short Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties
title_sort optical characterization of biological tissues based on fluorescence, absorption, and scattering properties
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689259/
https://www.ncbi.nlm.nih.gov/pubmed/36428905
http://dx.doi.org/10.3390/diagnostics12112846
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