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A Simple Hanging Drop Cell Culture Protocol for Generation of 3D Spheroids
Published on: May 6, 2011
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Digital microfluidics for automated hanging drop cell spheroid culture
Andrew P Aijian1, Robin L Garrell2
1Department of Bioengineering, University of California, Los Angeles, CA, USA.
Journal of Laboratory Automation
|December 17, 2014
Summary
This study introduces a digital microfluidic platform to automate cell spheroid formation and analysis. The automated system enhances efficiency and viability for 3D cell culture applications in research.
Area of Science:
- Biomedical Engineering
- Cell Biology
- Microfluidics
Background:
- Cell spheroids mimic physiological tissues but their use in research is limited by complex workflows.
- Automating spheroid formation and analysis is crucial for broader adoption in biomedical research.
Purpose of the Study:
- To develop and validate a digital microfluidic platform for automating the formation, maintenance, and analysis of multicellular spheroids.
- To demonstrate the platform's capability in handling cell cultures and performing drug screening assays.
Main Methods:
- A digital microfluidic device was engineered with through-holes for automated liquid handling in hanging drop cultures.
- Mouse mesenchymal stem cell spheroids were formed and maintained for 72 hours.
- A drug screen was conducted on human colorectal adenocarcinoma spheroids.
Main Results:
- The platform successfully formed and maintained mouse mesenchymal stem cell spheroids with high viability (>90%) and uniformity.
- The system demonstrated reproducible results within and between experiments.
- The drug screen successfully recapitulated drug resistance phenomena in human colorectal adenocarcinoma spheroids.
Conclusions:
- The digital microfluidic platform offers an automated, flexible solution for cell spheroid culture and analysis.
- This technology can streamline 3D cell-based assays, facilitating routine use in biomedical research.
- The platform supports in situ sample preparation and analysis, enhancing experimental throughput and reliability.

