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Unsupervised determination of lung tumor margin with widefield polarimetric second-harmonic generation microscopy

View ORCID ProfileKamdin Mirsanaye, Leonardo Uribe Castaño, Yasmeen Kamaliddin, Ahmad Golaraei, Lukas Kontenis, Edvardas Žurauskas, Roya Navab, Kazuhiro Yasufuku, View ORCID ProfileMing-Sound Tsao, Brian C. Wilson, Virginijus Barzda
doi: https://doi.org/10.1101/2022.07.25.501438
Kamdin Mirsanaye
1Department of Physics, University of Toronto, Canada
2Department of Chemical and Physical Sciences, University of Toronto Mississauga, Mississauga, Canada
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  • ORCID record for Kamdin Mirsanaye
Leonardo Uribe Castaño
1Department of Physics, University of Toronto, Canada
2Department of Chemical and Physical Sciences, University of Toronto Mississauga, Mississauga, Canada
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Yasmeen Kamaliddin
1Department of Physics, University of Toronto, Canada
2Department of Chemical and Physical Sciences, University of Toronto Mississauga, Mississauga, Canada
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Ahmad Golaraei
1Department of Physics, University of Toronto, Canada
2Department of Chemical and Physical Sciences, University of Toronto Mississauga, Mississauga, Canada
3Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
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Lukas Kontenis
4Laser Research Centre, Faculty of Physics, Vilnius University, Vilnius, Lithuania
5Light Conversion, Vilnius, Lithuania
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Edvardas Žurauskas
6Department of Pathology, Forensic Medicine and Pharmacology, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
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Roya Navab
3Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
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Kazuhiro Yasufuku
7Toronto General Hospital, University Health Network, Toronto, Canada
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Ming-Sound Tsao
3Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
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Brian C. Wilson
3Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
8Department of Medical Biophysics, University of Toronto, Toronto, Canada
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Virginijus Barzda
1Department of Physics, University of Toronto, Canada
2Department of Chemical and Physical Sciences, University of Toronto Mississauga, Mississauga, Canada
4Laser Research Centre, Faculty of Physics, Vilnius University, Vilnius, Lithuania
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  • For correspondence: virgis.barzda@utoronto.ca
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Abstract

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-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.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted July 26, 2022.
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Unsupervised determination of lung tumor margin with widefield polarimetric second-harmonic generation microscopy
Kamdin Mirsanaye, Leonardo Uribe Castaño, Yasmeen Kamaliddin, Ahmad Golaraei, Lukas Kontenis, Edvardas Žurauskas, Roya Navab, Kazuhiro Yasufuku, Ming-Sound Tsao, Brian C. Wilson, Virginijus Barzda
bioRxiv 2022.07.25.501438; doi: https://doi.org/10.1101/2022.07.25.501438
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Unsupervised determination of lung tumor margin with widefield polarimetric second-harmonic generation microscopy
Kamdin Mirsanaye, Leonardo Uribe Castaño, Yasmeen Kamaliddin, Ahmad Golaraei, Lukas Kontenis, Edvardas Žurauskas, Roya Navab, Kazuhiro Yasufuku, Ming-Sound Tsao, Brian C. Wilson, Virginijus Barzda
bioRxiv 2022.07.25.501438; doi: https://doi.org/10.1101/2022.07.25.501438

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