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Related Experiment Videos

Microfluidic cell counter/sorter utilizing multiple particle tracing technique and optically switching approach.

Chen-Chen Lin1, Angela Chen, Che-Hsin Lin

  • 1Department of Mechanical and Electro-mechanical Engineering, National Sun Yat-sen University, Kaohsiung 804, Taiwan, Republic of China.

Biomedical Microdevices
|July 31, 2007
PubMed
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This study presents a novel microfluidic system for automated cell and microparticle sorting and counting. The digital image processing and optical tweezers system achieves high accuracy in continuous flow environments.

Area of Science:

  • Biotechnology
  • Microfluidics
  • Optical Physics

Background:

  • Automated cell and microparticle manipulation is crucial for various biological and diagnostic applications.
  • Existing methods often lack efficiency, accuracy, or scalability for continuous flow processing.
  • Microfluidic devices offer a promising platform for miniaturized and high-throughput cell handling.

Purpose of the Study:

  • To develop and validate a novel microfluidic system for real-time, automated recognition, counting, and sorting of cells and microparticles.
  • To integrate digital image processing (DIP) and optical tweezers for precise manipulation within a microfluidic channel.
  • To demonstrate the system's capability in a continuous flow environment with high yield and recovery rates.

Main Methods:

Related Experiment Videos

  • Electrokinetic focusing of cells/microparticles into a narrow stream within a microfluidic chip.
  • Real-time recognition and tracing using a computer-controlled digital image processing (DIP) system.
  • Optical tweezers actuated by synchronized DIP signals to displace target cells into a collection channel.

    • Main Results:

    • Successful continuous sorting and counting of microparticles with 5 and 10 µm diameters.
    • Demonstrated 100% yield ratio and 91.9% recovery ratio for sorting yeast cells and polystyrene beads.
    • The system operates effectively in a continuous flow environment, enabling automated downstream collection.

    Conclusions:

    • The proposed microfluidic system offers a simple, low-cost, and high-performance solution for automated cell and microparticle manipulation.
    • The integration of DIP and optical tweezers provides precise control for recognition, counting, and sorting tasks.
    • This technology has significant potential for applications in cell biology, diagnostics, and bioprocessing.