Integrating machine learning and digital microfluidics for screening experimental conditions-Reference-Cited by-同舟云学术

Integrating machine learning and digital microfluidics for screening experimental conditions

Published:2023 Issue:1 Volume:23 Page:81-91
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Ahmadi Fatemeh¹²³^ORCID,Simchi Mohammad⁴^ORCID,Perry James M.²^ORCID,Frenette Stephane²,Benali Habib¹²,Soucy Jean-Paul²⁵^ORCID,Massarweh Gassan⁵,Shih Steve C. C.¹²³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montréal, Québec, H3G 1M8, Canada

2. PERFORM Centre, Concordia University, 7200 Sherbrooke Street West, Montréal, Québec, H4B 1R6, Canada

3. Centre for Applied Synthetic Biology, Concordia University, 7141 Sherbrooke Street West, Montréal, Québec, H4B 1R6, Canada

4. Department of Mechanical & Industrial Engineering, University of Toronto, 5 King's College Rd, Toronto, Ontario, M5S 3G8, Canada

5. McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montréal, Québec, H3A 2B4, Canada

Abstract

A new approach to combine digital microfluidics and machine learning algorithms to enable applications that require high throughput analysis.

Funder

Natural Sciences and Engineering Research Council of Canada

Fonds de recherche du Québec – Nature et technologies

Canada Foundation for Innovation

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2023/LC/D2LC00764A

Reference66 articles.

1. Expanding the limits towards ‘one-pot’ DNA assembly and transformation on a rapid-prototype microfluidic device

2. An automated microfluidic gene-editing platform for deciphering cancer genes

3. A fucosyltransferase inhibition assay using image-analysis and digital microfluidics

4. An Automated Induction Microfluidics System for Synthetic Biology

5. Viral Generation, Packaging, and Transduction on a Digital Microfluidic Platform

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