Image-based closed-loop feedback for highly mono-dispersed microdroplet production.

Abstract:

:Micron-scale droplets isolated by an immiscible liquid can provide miniaturised reaction vessels which can be manipulated in microfluidic networks, and has seen a rapid growth in development. In many experiments, the precise volume of these microdroplets is a critical parameter which can be influenced by many external factors. In this work, we demonstrate the combination of imaging-based feedback and pressure driven pumping to accurately control the size of microdroplets produced in a microfluidic device. The use of fast-response, pressure-driving pumps allows the microfluidic flow to be quickly and accurately changed, while directly measuring the droplet size allows the user to define the more meaningful parameters of droplet size and generation frequency rather than flow rates or pressures. The feedback loop enables the drift correction of pressure based pumps, and leads to a large increase in the mono-dispersity of the droplets produced over long periods. We also show how this can be extended to control multiple liquid flows, allowing the frequency of droplet formation or the average concentration of living cells per droplet to be controlled and kept constant.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Crawford DF,Smith CA,Whyte G

doi

10.1038/s41598-017-11254-5

subject

Has Abstract

pub_date

2017-09-05 00:00:00

pages

10545

issue

1

issn

2045-2322

pii

10.1038/s41598-017-11254-5

journal_volume

7

pub_type

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