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Published on: February 21, 2020
High throughput and automatic colony formation assay based on impedance measurement technique
Kin Fong Lei1,2,3, Chich-Hao Kao4, Ngan-Ming Tsang5,6
1Graduate Institute of Medical Mechatronics, Chang Gung University, 259 Wen-Hua 1st Road, Kweishan, Taoyuan, 333, Taiwan, Republic of China. kflei@mail.cgu.edu.tw.
A new impedimetric analysis technique enables high-throughput, automated cell colony monitoring for cancer research. This label-free method offers objective assessments by measuring impedance magnitude and phase angle, reflecting colony response and size.
Area of Science:
- Biomedical Engineering
- Cancer Research
- Cell Biology
Background:
- Traditional cell colony counting is labor-intensive, limiting throughput and automation in cancer research.
- Existing methods for analyzing cell colony formation lack real-time, label-free monitoring capabilities.
- High clinical relevance necessitates robust in vitro assays for predicting in vivo tumor responses.
Purpose of the Study:
- To develop a high-throughput, automated, and label-free method for analyzing cell colonies in vitro.
- To utilize impedance measurement for real-time monitoring of cell colony formation and drug response.
- To enhance the objectivity and efficiency of colony formation assays in cancer research.
Main Methods:
- In situ analysis of cell colonies suspended in soft hydrogel using impedance measurement.
- Utilizing a parallel plate electrode setup with a hydrogel coating for cell culture.
- Real-time, label-free monitoring of impedance magnitude and phase angle during culture.
Main Results:
- Successful real-time and label-free monitoring of cell colonies was achieved.
- Impedance magnitude correlated with the summation effect of colony responses.
- Impedance phase angle provided information on colony size, enabling dynamic drug response assessment.
Conclusions:
- The developed impedimetric technique facilitates high-throughput and automated colony formation assays.
- This approach enhances objective assessment in cancer research by providing real-time data.
- The method is suitable for dynamic monitoring of drug effects on cell colonies.
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