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

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    License
    Attribution-NonCommercial 4.0 International
    Date Issued
    2020-08-03
    Author(s)
    Lashkaripour, Ali
    McIntyre, David
    Densmore, Douglas
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    Permanent Link
    https://hdl.handle.net/2144/41355
    Version
    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.
    Rights
    Attribution-NonCommercial 4.0 International
    Collections
    • ENG: Biomedical Engineering: Scholarly Papers [268]
    • BU Open Access Articles [3664]


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