Defocusing effects on label-free cervical cancer cell classification by two-dimensional light scattering static cytometry and machine learning

Jinmei Xie; Ran Chu; Shanshan Liu; Kun Song; Xuantao Su

doi:10.1117/12.2606965

24 November 2021 Defocusing effects on label-free cervical cancer cell classification by two-dimensional light scattering static cytometry and machine learning

Jinmei Xie, Ran Chu, Shanshan Liu, Kun Song, Xuantao Su

Author Affiliations +

Proceedings Volume 12067, AOPC 2021: Biomedical Optics; 120670H (2021) https://doi.org/10.1117/12.2606965
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

Cervical carcinoma is one of the most common gynecological malignancies in the world. Here we have measured the 2D light scattering patterns of two representative types of cervical cancer cell lineage cells (HeLa, H8) at six different defocusing distances. The light scattering patterns vary at different defocusing distances, where the longer the defocusing distance, the larger the pattern area is. The classification performance for cervical cancer cells at different defocusing distances is evaluated based on support vector machine (SVM) classification algorithm. Speckle features are extracted by histogram of oriented gradient (HOG). Under six defocusing distances, the difference between the highest and lowest accuracy is 5.09%. The study of defocusing effects on cell classification with 2D light scattering static cytometry may help for the development of high speed and high performance imaging flow cytometry, and the combination of flow cytometry and machine learning holds great promise for automating the early clinical diagnosis of cervical cancer and other diseases.

Citation Download Citation

Jinmei Xie, Ran Chu, Shanshan Liu, Kun Song, and Xuantao Su "Defocusing effects on label-free cervical cancer cell classification by two-dimensional light scattering static cytometry and machine learning", Proc. SPIE 12067, AOPC 2021: Biomedical Optics, 120670H (24 November 2021); https://doi.org/10.1117/12.2606965

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