Machine learning enables design automation of microfluidic flow-focusing droplet generation

Devices for droplet generation are at the heart of many microfluidic applications but difficult to tailor for specific cases. Lashkaripour et al. show how design customization can greatly be simplified by combining rapid prototyping with data-driven machine learning strategies.

Bibliographic Details
Main Authors: Ali Lashkaripour, Christopher Rodriguez, Noushin Mehdipour, Rizki Mardian, David McIntyre, Luis Ortiz, Joshua Campbell, Douglas Densmore
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-20284-z
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spelling doaj-26fb0f19f58d4b0b8fb52cda68311ccb2021-01-10T12:17:44ZengNature Publishing GroupNature Communications2041-17232021-01-0112111410.1038/s41467-020-20284-zMachine learning enables design automation of microfluidic flow-focusing droplet generationAli Lashkaripour0Christopher Rodriguez1Noushin Mehdipour2Rizki Mardian3David McIntyre4Luis Ortiz5Joshua Campbell6Douglas Densmore7Department of Biomedical Engineering, Boston UniversityComputational and Systems Biology, Massachusetts Institute of TechnologyBiological Design CenterBiological Design CenterDepartment of Biomedical Engineering, Boston UniversityBiological Design CenterDepartment of Medicine, Boston UniversityBiological Design CenterDevices for droplet generation are at the heart of many microfluidic applications but difficult to tailor for specific cases. Lashkaripour et al. show how design customization can greatly be simplified by combining rapid prototyping with data-driven machine learning strategies.https://doi.org/10.1038/s41467-020-20284-z
collection DOAJ
language English
format Article
sources DOAJ
author Ali Lashkaripour
Christopher Rodriguez
Noushin Mehdipour
Rizki Mardian
David McIntyre
Luis Ortiz
Joshua Campbell
Douglas Densmore
spellingShingle Ali Lashkaripour
Christopher Rodriguez
Noushin Mehdipour
Rizki Mardian
David McIntyre
Luis Ortiz
Joshua Campbell
Douglas Densmore
Machine learning enables design automation of microfluidic flow-focusing droplet generation
Nature Communications
author_facet Ali Lashkaripour
Christopher Rodriguez
Noushin Mehdipour
Rizki Mardian
David McIntyre
Luis Ortiz
Joshua Campbell
Douglas Densmore
author_sort Ali Lashkaripour
title Machine learning enables design automation of microfluidic flow-focusing droplet generation
title_short Machine learning enables design automation of microfluidic flow-focusing droplet generation
title_full Machine learning enables design automation of microfluidic flow-focusing droplet generation
title_fullStr Machine learning enables design automation of microfluidic flow-focusing droplet generation
title_full_unstemmed Machine learning enables design automation of microfluidic flow-focusing droplet generation
title_sort machine learning enables design automation of microfluidic flow-focusing droplet generation
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-01-01
description Devices for droplet generation are at the heart of many microfluidic applications but difficult to tailor for specific cases. Lashkaripour et al. show how design customization can greatly be simplified by combining rapid prototyping with data-driven machine learning strategies.
url https://doi.org/10.1038/s41467-020-20284-z
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