Extracting the feature of nasopharyngeal carcinoma cell cytoskeleton with machine vision

Muyang Hao; Zeqin Hu; Chaoyang Ji; Yimei Huang

doi:10.1117/12.2687501

27 November 2023 Extracting the feature of nasopharyngeal carcinoma cell cytoskeleton with machine vision

Muyang Hao, Zeqin Hu, Chaoyang Ji, Yimei Huang

Proceedings Volume 12770, Optics in Health Care and Biomedical Optics XIII; 127702V (2023) https://doi.org/10.1117/12.2687501
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Conference Poster

Abstract

The cytoskeleton plays an important role for maintaining cell morphology and movement. Extracting the fine feature of cytoskeleton would be helpful to investigate the role of cytoskeleton in biological and pathological process. This paper proposes a feature analysis method based on machine vision to extract the fine feature of cytoskeleton. The nasopharyngeal epithelia cells (NP69), human high metastatic nasopharyngeal carcinoma cells (5-8F), and human high differentiation nasopharyngeal carcinoma cells (CNE1) were imaged with a total internal reflection fluorescence microscope (TIRFM). To extract the fine feature of cytoskeleton from these TIRFM images, three machine vison methods including the conventional threshold method, the adaptive threshold-connected-domain method (ATCD), and the maximum interclass variance method (OTSU) were used to segment the cytoskeleton. The ATCD method has great advantage over the conventional threshold and OTSU. The extracted length of the nasopharyngeal carcinoma cells (5-8F and CNE1) cytoskeleton is shorter than that of nasopharyngeal epithelia cell (NP69). These results indicate that ATCD machine vison method can be used to extract the fine feature of cytoskeleton with high resolution TIRFM images.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Muyang Hao, Zeqin Hu, Chaoyang Ji, and Yimei Huang "Extracting the feature of nasopharyngeal carcinoma cell cytoskeleton with machine vision", Proc. SPIE 12770, Optics in Health Care and Biomedical Optics XIII, 127702V (27 November 2023); https://doi.org/10.1117/12.2687501

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