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SLAS Technol. 2019 Sep 27:2472630319877376. doi: 10.1177/2472630319877376. [Epub ahead of print]

Rapid Production and Recovery of Cell Spheroids by Automated Droplet Microfluidics.

Author information

1
Division of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.
2
Novo Nordisk Foundation Center for Biosustainability at KTH, Stockholm, Sweden.

Abstract

The future of the life sciences is linked to automation and microfluidics. As robots start working side by side with scientists, robotic automation of microfluidics in general, and droplet microfluidics in particular, will significantly extend and accelerate the life sciences. Here, we demonstrate the automation of droplet microfluidics using an inexpensive liquid-handling robot to produce human scaffold-free cell spheroids at high throughput. We use pipette actuation and interface the pipetting tip with a droplet-generating microfluidic device. In this device, we produce highly monodisperse droplets with a diameter coefficient of variation (CV) lower than 2%. By encapsulating cells in these droplets, we produce cell spheroids in droplets and recover them to standard labware containers at a throughput of 85,000 spheroids per microfluidic circuit per hour. The viability of the cells in spheroids remains high throughout the process and decreases by >10% (depending on the cell line used) after a 16 h incubation period in nanoliter droplets and automated recovery. Scaffold-free cell spheroids and 3D tissue constructs recapitulate many aspects of functional human tissue more accurately than 2D or single-cell cultures, but assembly methods for spheroids (e.g., hanging drop microplates) have limited throughput. The increased throughput and decreased cost of our method enable spheroid production at the scale needed for lead discovery drug screening, and approach the cost at which these microtissues could be used as building blocks for organ-scale regenerative medicine.

KEYWORDS:

3D microtissue; droplet microfluidics; engineering; high-throughput cell processing; microfluidics; microtechnology; robotics and instrumentation

PMID:
31561747
DOI:
10.1177/2472630319877376

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