ArticleBiomedical optics express2014
Numerical investigation of two-dimensional light scattering patterns of cervical cell nuclei to map dysplastic changes at different epithelial depths.
Article in Biomedical optics express, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Siamese deep learning video flow cytometry for automatic and label-free clinical cervical cancer cell analysis.Biomedical optics express · 2024Article
- Unknown cell class distinction via neural network based scattering snapshot recognition.Biomedical optics express · 2023Article
- Assessment of internal refractive index profile of stochastically inhomogeneous nuclear models via analysis of two-dimensional optical scattering patterns.Journal of biomedical optics · 2021Article
- Deep learning-based light scattering microfluidic cytometry for label-free acute lymphocytic leukemia classification.Biomedical optics express · 2020Article
- Light scattering methods for tissue diagnosis.Optica · 2019Article
- Classification and Recognition of Ovarian Cells Based on Two-Dimensional Light Scattering Technology.Journal of medical systems · 2019Article
- Label-free light-sheet microfluidic cytometry for the automatic identification of senescent cells.Biomedical optics express · 2018Article
- Article
- Precancerous esophageal epithelia are associated with significantly increased scattering coefficients.Biomedical optics express · 2015Article
- A polarization-sensitive light field imager for multi-channel angular spectroscopy of light scattering in biological tissues.Quantitative imaging in medicine and surgery · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We use an extensive set of quantitative histopathology data to construct realistic three-dimensional models of normal and dysplastic cervical cell nuclei at different epithelial depths. We then employ the finite-difference time-domain method to numerically simulate the light scattering response of these representative models as a function of the polar and azimuthal scattering angles. The results indicate that intensity and shape metrics computed from two-dimensional scattering patterns can be used to distinguish between different diagnostic categories. Our numerical study also suggests that different epithelial layers and angular ranges need to be considered separately to fully exploit the diagnostic potential of two-dimensional light scattering measurements.
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Registered trials
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