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Intuitive, image-based cell sorting using optofluidic cell sorting.

J R Kovac1, J Voldman

  • 1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 36-824, Cambridge, Massachusetts 02139, USA.

Analytical Chemistry
|November 17, 2007
PubMed
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This study introduces a novel microfluidic cell-sorting device that combines microscopy and laser-based manipulation for precise cell sorting. It enables complex phenotype sorting based on subcellular imaging, achieving high purity and cell viability.

Area of Science:

  • Biotechnology
  • Microfluidics
  • Cell Biology

Background:

  • Traditional cell sorting methods often lack the resolution for complex phenotype analysis.
  • Image-based cell analysis is crucial for understanding cellular behavior and function.

Purpose of the Study:

  • To develop a microfluidic device for image-based cell sorting.
  • To enable sorting based on complex phenotypes, including subcellular fluorescence localization and morphology.

Main Methods:

  • A microfluidic device with a microwell array for cell loading and microscopy inspection.
  • Laser-induced optical forces to levitate and collect selected cells.
  • Sorting based on whole-cell fluorescence and subcellular fluorescence localization.

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Main Results:

  • Achieved post-sort purities up to 89% and 155-fold enrichment.
  • Demonstrated sorting based on temporal whole-cell fluorescence and subcellular events.
  • Cells remained viable after the sorting process.

Conclusions:

  • The developed microfluidic device facilitates sophisticated cell sorting based on detailed image analysis.
  • This technology allows for sorting based on subcellular spatio-temporal information, overcoming limitations of existing methods.
  • The scalable architecture supports over 10,000 trap sites for high-throughput applications.