Efficient large-scale microfluidic design-space exploration: from data to model to data

Abstract

Droplet microfluidics is well poised to improve the gold standard in many fields such as synthetic biology. However, the lack of available design automation tools that can create a microfluidic droplet generator based on a desired performance, forces the design process to be iterative, inefficient, and costly, thus, hampering the wide-spread adoption of droplet microfluidics in the life sciences.