Robotic automation of droplet microfluidics
Abstract
Droplet microfluidics enables powerful analytic capabilities but often requires workflows involving macro- and microfluidic processing steps that are cumbersome to perform manually. Here, we demonstrate the automation of droplet microfluidics with commercial fluid-handling robotics. The workflows incorporate common microfluidic devices including droplet generators, mergers, and sorters and utilize the robot's native capabilities for thermal control, incubation, and plate scanning. The ability to automate microfluidic devices using commercial fluid handling will speed up the integration of these methods into biological workflows.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2022
- Source ID
- 10.1063/5.0064265
Entities
People
- Adam R. Abate
- Cyrus Modavi
- Samuel Kim
- Tuan M. Tran
Organizations
- California Institute for Quantitative Biosciences
- Chan Zuckerberg Biohub
- Chan Zuckerberg Initiative
- Defense Advanced Research Projects Agency
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases
- National Human Genome Research Institute
- National Institute of Arthritis and Musculoskeletal and Skin Diseases
- National Institute of Biomedical Imaging and Bioengineering
- National Science Foundation
- United States Department of Energy
- University of California, San Francisco