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A Gradient-generating Microfluidic Device for Cell Biology
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Upgraded User-Friendly Image-Activated Microfluidic Cell Sorter Using an Optimized and Fast Deep Learning Algorithm.

Keondo Lee1, Seong-Eun Kim1, Seokho Nam1

  • 1Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea.

Micromachines
|December 23, 2022
PubMed
Summary
This summary is machine-generated.

This study presents an upgraded image-activated cell sorting system for real-time isolation of cells and particles. The enhanced microfluidic device achieves high sorting purity and throughput, improving biological research capabilities.

Keywords:
Microfluidic Flow Cytometrydeep learningimage-based cell sorting

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Area of Science:

  • Biotechnology
  • Microfluidics
  • Cell Biology

Background:

  • Image-based cell sorting is crucial for biological and biomedical research, enabling downstream analysis of cell-to-cell variations.
  • Previous work established a user-friendly image-activated microfluidic cell sorting technique leveraging a fast deep learning algorithm for real-time cell isolation.
  • The technique was initially demonstrated using an inverted microscope setup.

Purpose of the Study:

  • To implement and upgrade the previously demonstrated image-activated microfluidic cell sorting technique into a practical, real-world system.
  • To incorporate new features enhancing user-friendliness and efficiency for real-time cell or particle sorting.
  • To validate the performance of the upgraded sorting system.

Main Methods:

  • Development of an upgraded cell sorting system integrating microscope-based techniques into a functional device.
  • Incorporation of a high-resolution linear piezo-stage for in-focus imaging of rapidly moving cells.
  • Integration of an LED strobe light to reduce motion blur and a vertical syringe pump to prevent cell sedimentation.

Main Results:

  • The upgraded system demonstrated successful real-time sorting of fluorescent polystyrene beads.
  • Achieved a high sorting purity of 99.4% for both 15 μm and 10 μm beads.
  • Attained an average throughput of 22.1 events per second (eps).

Conclusions:

  • The upgraded image-activated microfluidic cell sorting system offers enhanced performance and user-friendliness.
  • The system's high purity and throughput make it a valuable tool for real-time cell and particle sorting in research.
  • This advancement facilitates more detailed downstream analysis and expands knowledge of cellular differences.