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Characterization of Pancreatic Cancer Tissue Using Multiphoton Excitation Fluorescence and Polarization-Sensitive Harmonic Generation Microscopy

Thin tissue sections of normal and tumorous pancreatic tissues stained with hematoxylin and eosin were investigated using multiphoton excitation fluorescence (MPF), second harmonic generation (SHG), and third harmonic generation (THG) microscopies. The cytoplasm, connective tissue, collagen and extr...

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Autores principales: Tokarz, Danielle, Cisek, Richard, Joseph, Ariana, Golaraei, Ahmad, Mirsanaye, Kamdin, Krouglov, Serguei, Asa, Sylvia L., Wilson, Brian C., Barzda, Virginijus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478795/
https://www.ncbi.nlm.nih.gov/pubmed/31058080
http://dx.doi.org/10.3389/fonc.2019.00272
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author Tokarz, Danielle
Cisek, Richard
Joseph, Ariana
Golaraei, Ahmad
Mirsanaye, Kamdin
Krouglov, Serguei
Asa, Sylvia L.
Wilson, Brian C.
Barzda, Virginijus
author_facet Tokarz, Danielle
Cisek, Richard
Joseph, Ariana
Golaraei, Ahmad
Mirsanaye, Kamdin
Krouglov, Serguei
Asa, Sylvia L.
Wilson, Brian C.
Barzda, Virginijus
author_sort Tokarz, Danielle
collection PubMed
description Thin tissue sections of normal and tumorous pancreatic tissues stained with hematoxylin and eosin were investigated using multiphoton excitation fluorescence (MPF), second harmonic generation (SHG), and third harmonic generation (THG) microscopies. The cytoplasm, connective tissue, collagen and extracellular structures are visualized with MPF due to the eosin stain, whereas collagen is imaged with endogenous SHG contrast that does not require staining. Cellular structures, including membranous interfaces and nuclear components, are seen with THG due to the aggregation of hematoxylin dye. Changes in the collagen ultrastructure in pancreatic cancer were investigated by a polarization-sensitive SHG microscopy technique, polarization-in, polarization-out (PIPO) SHG. This involves measuring the orientation of the linear polarization of the SHG signal as a function of the linear polarization orientation of the incident laser radiation. From the PIPO SHG data, the second-order non-linear optical susceptibility ratio, χ((2))(zzz)'/χ((2))(zxx)', was obtained that serves as a structural parameter for characterizing the tissue. Furthermore, by assuming C(6) symmetry, an additional second-order non-linear optical susceptibility ratio, χ((2))(xyz)'/χ((2))(zxx)', was obtained, which is a measure of the chirality of the collagen fibers. Statistically-significant differences in the χ((2))(zzz)'/χ((2))(zxx)' values were found between tumor and normal pancreatic tissues in periductal, lobular, and parenchymal regions, whereas statistically-significant differences in the full width at half maximum (FWHM) of χ((2))(xyz)'/χ((2))(zxx)' occurrence histograms were found between tumor and normal pancreatic tissues in periductal and parenchymal regions. Additionally, the PIPO SHG data were used to determine the degree of linear polarization (DOLP) of the SHG signal, which indicates the relative linear depolarization of the signal. Statistically-significant differences in DOLP values were found between tumor and normal pancreatic tissues in periductal and parenchymal regions. Hence, the differences observed in the χ((2))(zzz)'/χ((2))(zxx)' values, the FWHM of χ((2))(xyz)'/χ((2))(zxx)' values and the DOLP values could potentially be used to aid pathologists in diagnosing pancreatic cancer.
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spelling pubmed-64787952019-05-03 Characterization of Pancreatic Cancer Tissue Using Multiphoton Excitation Fluorescence and Polarization-Sensitive Harmonic Generation Microscopy Tokarz, Danielle Cisek, Richard Joseph, Ariana Golaraei, Ahmad Mirsanaye, Kamdin Krouglov, Serguei Asa, Sylvia L. Wilson, Brian C. Barzda, Virginijus Front Oncol Oncology Thin tissue sections of normal and tumorous pancreatic tissues stained with hematoxylin and eosin were investigated using multiphoton excitation fluorescence (MPF), second harmonic generation (SHG), and third harmonic generation (THG) microscopies. The cytoplasm, connective tissue, collagen and extracellular structures are visualized with MPF due to the eosin stain, whereas collagen is imaged with endogenous SHG contrast that does not require staining. Cellular structures, including membranous interfaces and nuclear components, are seen with THG due to the aggregation of hematoxylin dye. Changes in the collagen ultrastructure in pancreatic cancer were investigated by a polarization-sensitive SHG microscopy technique, polarization-in, polarization-out (PIPO) SHG. This involves measuring the orientation of the linear polarization of the SHG signal as a function of the linear polarization orientation of the incident laser radiation. From the PIPO SHG data, the second-order non-linear optical susceptibility ratio, χ((2))(zzz)'/χ((2))(zxx)', was obtained that serves as a structural parameter for characterizing the tissue. Furthermore, by assuming C(6) symmetry, an additional second-order non-linear optical susceptibility ratio, χ((2))(xyz)'/χ((2))(zxx)', was obtained, which is a measure of the chirality of the collagen fibers. Statistically-significant differences in the χ((2))(zzz)'/χ((2))(zxx)' values were found between tumor and normal pancreatic tissues in periductal, lobular, and parenchymal regions, whereas statistically-significant differences in the full width at half maximum (FWHM) of χ((2))(xyz)'/χ((2))(zxx)' occurrence histograms were found between tumor and normal pancreatic tissues in periductal and parenchymal regions. Additionally, the PIPO SHG data were used to determine the degree of linear polarization (DOLP) of the SHG signal, which indicates the relative linear depolarization of the signal. Statistically-significant differences in DOLP values were found between tumor and normal pancreatic tissues in periductal and parenchymal regions. Hence, the differences observed in the χ((2))(zzz)'/χ((2))(zxx)' values, the FWHM of χ((2))(xyz)'/χ((2))(zxx)' values and the DOLP values could potentially be used to aid pathologists in diagnosing pancreatic cancer. Frontiers Media S.A. 2019-04-17 /pmc/articles/PMC6478795/ /pubmed/31058080 http://dx.doi.org/10.3389/fonc.2019.00272 Text en Copyright © 2019 Tokarz, Cisek, Joseph, Golaraei, Mirsanaye, Krouglov, Asa, Wilson and Barzda. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Tokarz, Danielle
Cisek, Richard
Joseph, Ariana
Golaraei, Ahmad
Mirsanaye, Kamdin
Krouglov, Serguei
Asa, Sylvia L.
Wilson, Brian C.
Barzda, Virginijus
Characterization of Pancreatic Cancer Tissue Using Multiphoton Excitation Fluorescence and Polarization-Sensitive Harmonic Generation Microscopy
title Characterization of Pancreatic Cancer Tissue Using Multiphoton Excitation Fluorescence and Polarization-Sensitive Harmonic Generation Microscopy
title_full Characterization of Pancreatic Cancer Tissue Using Multiphoton Excitation Fluorescence and Polarization-Sensitive Harmonic Generation Microscopy
title_fullStr Characterization of Pancreatic Cancer Tissue Using Multiphoton Excitation Fluorescence and Polarization-Sensitive Harmonic Generation Microscopy
title_full_unstemmed Characterization of Pancreatic Cancer Tissue Using Multiphoton Excitation Fluorescence and Polarization-Sensitive Harmonic Generation Microscopy
title_short Characterization of Pancreatic Cancer Tissue Using Multiphoton Excitation Fluorescence and Polarization-Sensitive Harmonic Generation Microscopy
title_sort characterization of pancreatic cancer tissue using multiphoton excitation fluorescence and polarization-sensitive harmonic generation microscopy
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478795/
https://www.ncbi.nlm.nih.gov/pubmed/31058080
http://dx.doi.org/10.3389/fonc.2019.00272
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