Unsupervised determination of lung tumor margin with widefield polarimetric second-harmonic generation microscopy.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
01 12 2022
01 12 2022
Historique:
received:
09
08
2022
accepted:
22
11
2022
entrez:
1
12
2022
pubmed:
2
12
2022
medline:
6
12
2022
Statut:
epublish
Résumé
The extracellular matrix (ECM) is amongst many tissue components affected by cancer, however, morphological changes of the ECM are not well-understood and thus, often omitted from diagnostic considerations. Polarimetric second-harmonic generation (P-SHG) microscopy allows for visualization and characterization of collagen ultrastructure in the ECM, aiding in better understanding of the changes induced by cancer throughout the tissue. In this paper, a large region of hematoxylin and eosin (H&E) stained human lung section, encompassing a tumor margin, connecting a significant tumor portion to normal tissue was imaged with P-SHG microscopy. The resulting polarimetric parameters were utilized in principal components analysis and unsupervised K-Means clustering to separate normal- and tumor-like tissue. Consequently, a pseudo-color map of the clustered tissue regions is generated to highlight the irregularity of the ECM collagen structure throughout the region of interest and to identify the tumor margin, in the absence of morphological characteristics of the cells.
Identifiants
pubmed: 36456811
doi: 10.1038/s41598-022-24973-1
pii: 10.1038/s41598-022-24973-1
pmc: PMC9715953
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
20713Informations de copyright
© 2022. The Author(s).
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