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A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation

Traditional thin sectioning microscopy of large bone and dental tissue samples using demineralization may disrupt structure morphologies and even damage soft tissues, thus compromising the histopathological investigation. Here, we developed a synergistic and original framework on thick sections base...

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Autores principales: Piriou, Marie, Lorenzo, Corinne, Raymond-Letron, Isabelle, Coronas-Dupuis, Sophie, Pieruccioni, Laetitia, Rouquette, Jacques, Guissard, Christophe, Chaumont, Jade, Casteilla, Louis, Planat-Benard, Valérie, Kemoun, Philippe, Monsarrat, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325997/
https://www.ncbi.nlm.nih.gov/pubmed/35910575
http://dx.doi.org/10.3389/fphys.2022.899626
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author Piriou, Marie
Lorenzo, Corinne
Raymond-Letron, Isabelle
Coronas-Dupuis, Sophie
Pieruccioni, Laetitia
Rouquette, Jacques
Guissard, Christophe
Chaumont, Jade
Casteilla, Louis
Planat-Benard, Valérie
Kemoun, Philippe
Monsarrat, Paul
author_facet Piriou, Marie
Lorenzo, Corinne
Raymond-Letron, Isabelle
Coronas-Dupuis, Sophie
Pieruccioni, Laetitia
Rouquette, Jacques
Guissard, Christophe
Chaumont, Jade
Casteilla, Louis
Planat-Benard, Valérie
Kemoun, Philippe
Monsarrat, Paul
author_sort Piriou, Marie
collection PubMed
description Traditional thin sectioning microscopy of large bone and dental tissue samples using demineralization may disrupt structure morphologies and even damage soft tissues, thus compromising the histopathological investigation. Here, we developed a synergistic and original framework on thick sections based on wide-field multi-fluorescence imaging and spectral Principal Component Analysis (sPCA) as an alternative, fast, versatile, and reliable solution, suitable for highly mineralized tissue structure sustain and visualization. Periodontal 2-mm thick sections were stained with a solution containing five fluorescent dyes chosen for their ability to discriminate close tissues, and acquisitions were performed with a multi-zoom macroscope for blue, green, red, and NIR (near-infrared) emissions. Eigen-images derived from both standard scaler (Std) and Contrast Limited Adaptive Histogram Equalization (Clahe) pre-preprocessing significantly enhanced tissue contrasts, highly suitable for histopathological investigation with an in-depth detail for sub-tissue structure discrimination. Using this method, it is possible to preserve and delineate accurately the different anatomical/morphological features of the periodontium, a complex tooth-supporting multi-tissue. Indeed, we achieve characterization of gingiva, alveolar bone, cementum, and periodontal ligament tissues. The ease and adaptability of this approach make it an effective method for providing high-contrast features that are not usually available in standard staining histology. Beyond periodontal investigations, this first proof of concept of an sPCA solution for optical microscopy of complex structures, especially including mineralized tissues opens new perspectives to deal with other chronic diseases involving complex tissue and organ defects. Overall, such an imaging framework appears to be a novel and convenient strategy for optical microscopy investigation.
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spelling pubmed-93259972022-07-28 A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation Piriou, Marie Lorenzo, Corinne Raymond-Letron, Isabelle Coronas-Dupuis, Sophie Pieruccioni, Laetitia Rouquette, Jacques Guissard, Christophe Chaumont, Jade Casteilla, Louis Planat-Benard, Valérie Kemoun, Philippe Monsarrat, Paul Front Physiol Physiology Traditional thin sectioning microscopy of large bone and dental tissue samples using demineralization may disrupt structure morphologies and even damage soft tissues, thus compromising the histopathological investigation. Here, we developed a synergistic and original framework on thick sections based on wide-field multi-fluorescence imaging and spectral Principal Component Analysis (sPCA) as an alternative, fast, versatile, and reliable solution, suitable for highly mineralized tissue structure sustain and visualization. Periodontal 2-mm thick sections were stained with a solution containing five fluorescent dyes chosen for their ability to discriminate close tissues, and acquisitions were performed with a multi-zoom macroscope for blue, green, red, and NIR (near-infrared) emissions. Eigen-images derived from both standard scaler (Std) and Contrast Limited Adaptive Histogram Equalization (Clahe) pre-preprocessing significantly enhanced tissue contrasts, highly suitable for histopathological investigation with an in-depth detail for sub-tissue structure discrimination. Using this method, it is possible to preserve and delineate accurately the different anatomical/morphological features of the periodontium, a complex tooth-supporting multi-tissue. Indeed, we achieve characterization of gingiva, alveolar bone, cementum, and periodontal ligament tissues. The ease and adaptability of this approach make it an effective method for providing high-contrast features that are not usually available in standard staining histology. Beyond periodontal investigations, this first proof of concept of an sPCA solution for optical microscopy of complex structures, especially including mineralized tissues opens new perspectives to deal with other chronic diseases involving complex tissue and organ defects. Overall, such an imaging framework appears to be a novel and convenient strategy for optical microscopy investigation. Frontiers Media S.A. 2022-07-13 /pmc/articles/PMC9325997/ /pubmed/35910575 http://dx.doi.org/10.3389/fphys.2022.899626 Text en Copyright © 2022 Piriou, Lorenzo, Raymond-Letron, Coronas-Dupuis, Pieruccioni, Rouquette, Guissard, Chaumont, Casteilla, Planat-Benard, Kemoun and Monsarrat. https://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 Physiology
Piriou, Marie
Lorenzo, Corinne
Raymond-Letron, Isabelle
Coronas-Dupuis, Sophie
Pieruccioni, Laetitia
Rouquette, Jacques
Guissard, Christophe
Chaumont, Jade
Casteilla, Louis
Planat-Benard, Valérie
Kemoun, Philippe
Monsarrat, Paul
A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation
title A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation
title_full A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation
title_fullStr A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation
title_full_unstemmed A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation
title_short A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation
title_sort spectral principal component analysis-based framework for composite hard/soft tissue fluorescence image investigation
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325997/
https://www.ncbi.nlm.nih.gov/pubmed/35910575
http://dx.doi.org/10.3389/fphys.2022.899626
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