Versatility and stability optimization of flow-focusing droplet generators <i>via</i> quality metric-driven design automation-Reference-Cited by-同舟云学术

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Versatility and stability optimization of flow-focusing droplet generators via quality metric-driven design automation

Published:2023 Issue:23 Volume:23 Page:4997-5008
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

McIntyre David¹²^ORCID,Lashkaripour Ali³⁴^ORCID,Arguijo Diana¹²^ORCID,Fordyce Polly³⁴⁵^ORCID,Densmore Douglas²⁶^ORCID

Affiliation:

1. Biomedical Engineering Department, Boston University, MA, USA

2. Biological Design Center, Boston University, Boston, MA, USA

3. Department of Bioengineering, Stanford University, Stanford, CA, USA

4. Department of Genetics, Stanford University, Stanford, CA, USA

5. Chan-Zuckerberg Biohub, San Francisco, CA, USA

6. Electrical & Computer Engineering Department, Boston University, Boston, MA, USA

Abstract

This work presents two new quality metrics for droplet generation, versatility and stability.

Funder

Damon Runyon Cancer Research Foundation

National Institutes of Health

Stanford Bio-X

National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2023/LC/D3LC00189J

Reference36 articles.

1. High-throughput functional screening for next-generation cancer immunotherapy using droplet-based microfluidics

2. Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

3. Droplet microfluidics for synthetic biology

4. Double Emulsion Picoreactors for High-Throughput Single-Cell Encapsulation and Phenotyping via FACS

5. Focus. Dealing with ‘real’ samples: sample pre-treatment in microfluidic systems

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1. Design automation of microfluidic single and double emulsion droplets with machine learning;Nature Communications;2024-01-02

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