High-yield cell ordering and deterministic cell-in-droplet encapsulation using Dean flow in a curved microchannel
Autor: | Albert van den Berg, David A. Weitz, Floor Wolbers, Rogier M. Schoeman, Evelien W. M. Kemna, I. Vermes |
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Rok vydání: | 2012 |
Předmět: |
Materials science
Mechanical equilibrium Cell Survival Microfluidics Biomedical Engineering HL-60 Cells Bioengineering 02 engineering and technology 01 natural sciences Biochemistry EWI-22317 law.invention Optics Planar law Lab-On-A-Chip Devices Image Processing Computer-Assisted Humans Dimethylpolysiloxanes Particle Size Cell encapsulation Microchannel METIS-289719 business.industry 010401 analytical chemistry Equipment Design General Chemistry Microfluidic Analytical Techniques Lab-on-a-chip 021001 nanoscience & nanotechnology Microspheres 0104 chemical sciences Encapsulation (networking) Optoelectronics Particle size IR-81912 K562 Cells 0210 nano-technology business Oils |
Zdroj: | Lab on a chip, 12(16), 2881-2887. Royal Society of Chemistry Lab on a Chip |
ISSN: | 1473-0197 |
DOI: | 10.1039/c2lc00013j |
Popis: | In this article high-yield (77%) and high-speed (2700 cells s(-1)) single cell droplet encapsulation is described using a Dean-coupled inertial ordering of cells in a simple curved continuous microchannel. By introducing the Dean force, the particles will order to one equilibrium position after travelling less than 1 cm. We use a planar curved microchannel structure in PDMS to spatially order two types of myeloid leukemic cells (HL60 and K562 cells), enabling deterministic single cell encapsulation in picolitre drops. An efficiency of up to 77% was reached, overcoming the limitations imposed by Poisson statistics for random cell loading, which yields only 37% of drops containing a single cell. Furthermore, we confirm that > 90% of the cells remain viable. The simple planar structure and high throughput provided by this passive microfluidic approach makes it attractive for implementation in lab on a chip (LOC) devices for single cell applications using droplet-based platforms |
Databáze: | OpenAIRE |
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