A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation.
algorithmic processing
fluorescence
mineralized tissues
periodontal structures
principal component analysis
spectral microscopy
Journal
Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006
Informations de publication
Date de publication:
2022
2022
Historique:
received:
18
03
2022
accepted:
06
06
2022
entrez:
1
8
2022
pubmed:
2
8
2022
medline:
2
8
2022
Statut:
epublish
Résumé
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
Identifiants
pubmed: 35910575
doi: 10.3389/fphys.2022.899626
pii: 899626
pmc: PMC9325997
doi:
Types de publication
Journal Article
Langues
eng
Pagination
899626Informations de copyright
Copyright © 2022 Piriou, Lorenzo, Raymond-Letron, Coronas-Dupuis, Pieruccioni, Rouquette, Guissard, Chaumont, Casteilla, Planat-Benard, Kemoun and Monsarrat.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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