2021
DOI: 10.1101/2021.05.26.445874
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Machine learning-enabled cancer diagnostics with widefield polarimetric second-harmonic generation microscopy

Abstract: The extracellular matrix (ECM) collagen undergoes major remodeling during tumorigenesis. However, alterations to the ECM are not widely considered in cancer diagnostics, due to mostly uniform appearance of collagen fibers in white light images of hematoxylin and eosin-stained tissue sections. Polarimetric second-harmonic generation (P-SHG) microscopy enables label-free visualization and ultrastructural investigation of non-centrosymmetric molecules, which, when combined with texture analysis, provides multipar… Show more

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Cited by 5 publications
(24 citation statements)
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“…The SHG LD distribution is also influenced by the R-and C-ratios and the relative phase Δ xyz . The polarimetric parameters can be used for ultrastructural characterization of the histology tissue and for cancer diagnostics [42].…”
Section: Resultsmentioning
confidence: 99%
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“…The SHG LD distribution is also influenced by the R-and C-ratios and the relative phase Δ xyz . The polarimetric parameters can be used for ultrastructural characterization of the histology tissue and for cancer diagnostics [42].…”
Section: Resultsmentioning
confidence: 99%
“…The polarimetric measurements are performed by employing liquid crystal variable retarders (LCVR), one for PSG and one for PSA. Two perpendicular linear or circular polarization states can be produced with the LCVR oriented with fast axis at 45 degrees from the incident linear polarization orientation [15, 42]. The SHG signal intensity, I M , measured after the PSA containing a single LCVR oriented at 45 degrees with respect to vertical polarization can be characterized with: where s 0 , s 1 , s 2 , s 3 are the measured SHG Stokes vector components [44, 45] and θ is the retardance angle of the LCVR.…”
Section: Methodsmentioning
confidence: 99%
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