For ovarian cancer patients, paclitaxel remains to be primary chemotherapy drug. Once drug resistance is developed, it will lead to tumor progression and metastasis during chemotherapy. Many studies have shown that the development of drug resistance in cancer cells can cause morphological changes. Digital holographic microscopy is an interferometric imaging technique that can obtain 3D quantitative morphological information of label-free cells. Combining with microfluidics enables high-throughput holographic image acquisition of suspended cells. In this work, four kinds of epithelial ovarian cancer cells with different drug sensitivity, SKOV3 cells, SKOV3_Ta_2μM cells, SKOV3_Ta_8μM cells, and SKOV3_Ta_20μM cells were studied. Several machine learning algorithms were used to perform multi-classification on the extracted morphological features of four types of cells. Then, we employ the SHapley Additive exPlanations (SHAP) method to interpret the classification model. The SHAP value of each feature is calculated and sorted to obtain the important morphological features.
Endometrial cancer is one of the most common gynecological malignancies. In endometrial cancer treatment, drug resistance test plays the vital role since different patients have different reactions to chemotherapy. Traditional methods of drug resistance test usually take a few days to obtain results, which will be quite a long time for patients waiting for cancer treatment. In this research, in order to quickly quantify the drug resistance of cancer cells, we managed to find some relationships between the dynamic changing processes and drug resistance of endometrial cancer cells. To accurately obtain and quantitatively analyze the dynamic processes, we utilized digital holographic microscopy (DHM) to retrieve phase maps of living cancer cells. Based on the real-time reconstructed phase maps, we reestablished the dynamic process of both the cisplatin-resistant cell (Ishikawa, ISK) and non-cisplatin-resistant cell (Ishikawa/CisR, ISKC). ISK and ISK-C were separately treated with cisplatin (0ug/ml, control; 5ug/ml, low concentration, LC; and 100ug/ml, high concentration, HC), and holograms of cells in each group were recorded by a DHM setup for 30min before and 150min after cisplatin treatment with a frame rate of one record every five second. Several morphological parameters, including cell height, cell projected area, and cell volume, were calculated from the retrieved phase maps and membrane fluctuations were analyzed both in temporal and spatial domains. Statistically significant differences in the changing processes were found between the two kinds of cells.
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