Lung cancer diagnosis with quantitative DIC microscopy and support vector machine

Longfei Zheng; Shuangshuang Cai; Bixin Zeng; Min Xu

doi:10.1117/12.2268806

5 January 2017 Lung cancer diagnosis with quantitative DIC microscopy and support vector machine

Longfei Zheng, Shuangshuang Cai, Bixin Zeng, Min Xu

Proceedings Volume 10245, International Conference on Innovative Optical Health Science; 102450K (2017) https://doi.org/10.1117/12.2268806
Event: International Conference on Innovative Optical Health Science, 2016, Shanghai Everbright International Hotel, China

Abstract

We report the study of lung squamous cell carcinoma diagnosis using the TI-DIC microscopy and the scattering-phase theorem. The spatially resolved optical properties of tissue are computed from the 2D phase map via the scattering-phase theorem. The scattering coefficient, the reduced scattering coefficient, and the anisotropy factor are all found to increase with the grade of lung cancer. The retrieved optical parameters are shown to distinguish cancer cases from the normal cases with high accuracy. This label-free microscopic approach applicable to fresh tissues may be promising for in situ rapid cancer diagnosis.

Citation Download Citation

Longfei Zheng, Shuangshuang Cai, Bixin Zeng, and Min Xu "Lung cancer diagnosis with quantitative DIC microscopy and support vector machine", Proc. SPIE 10245, International Conference on Innovative Optical Health Science, 102450K (5 January 2017); https://doi.org/10.1117/12.2268806

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