Title Unsupervised determination of lung tumor margin with widefeld polarimetric second‑harmonic generation microscopy /
Authors Mirsanaye, Kamdin ; Uribe Castaño, Leonardo ; Kamaliddin, Yasmeen ; Golaraei, Ahmad ; Kontenis, Lukas ; Žurauskas, Edvardas ; Navab, Roya ; Yasufuku, Kazuhiro ; Tsao, Ming‑Sound ; Wilson, Brian C ; Barzda, Virginijus
DOI 10.1038/s41598-022-24973-1
Full Text Download
Is Part of Scientific reports.. Berlin : Nature Portfolio. 2022, vol. 12, art. no. 20713, p. [1-13].. ISSN 2045-2322. eISSN 2045-2322
Keywords [eng] polarimetric second-harmonic generation microscopy ; tumour margins ; morphological features
Abstract [eng] The extracellular matrix (ECM) is amongst many tissue components afected 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 signifcant 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.
Published Berlin : Nature Portfolio
Type Journal article
Language English
Publication date 2022
CC license CC license description