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

Date Issued
2020-08-03Author(s)
Lashkaripour, Ali
McIntyre, David
Densmore, Douglas
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https://hdl.handle.net/2144/41355Version
Published version
Citation (published version)
Ali Lashkaripour, David McIntyre, Douglas Densmore. 2020. "Efficient Large-Scale Microfluidic Design-Space Exploration: From Data to Model to Data." https://www.iwbdaconf.org/2020/docs/IWBDA2020Proceedings.pdf. 12th International Workshop on Bio-Design Automation (IWBDA-2020). Online, 2020-08-03 - 2020-08-05.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.
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Attribution-NonCommercial 4.0 InternationalCollections