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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9689259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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