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Drug resistance detection of endometrial cancer cell lines using digital holographic microscopy

  • Runyu Cao*
  • , Wen Xiao
  • , Xiaosu Yi
  • , Feng Pan
  • , Tian Yao
  • , Xiaoping Li
  • *Corresponding author for this work
  • Beihang University
  • Peking University

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Article number1088721
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10887
DOIs
StatePublished - 2019
EventQuantitative Phase Imaging V 2019 - San Francisco, United States
Duration: 2 Feb 20195 Feb 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cancer cell study
  • Digital holographic microscopy
  • Drug resistance determination
  • Quantitative phase imaging

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