Open Source Hardware Cost-Effective Imaging Sensors for High-Throughput Droplet Microfluidic Systems
Author:
Affiliation:
1. Tallinn University of Technology,Thomas Johann Seebeck Department of Electronics,19086, Tallinn,Estonia
2. Tallinn University of Technology,Department of Chemistry and Biotechnology,19086, Tallinn,Estonia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9810328/9810374/09810383.pdf?arnumber=9810383
Reference38 articles.
1. One-step immunoassay of C-reactive protein using droplet microfluidics
2. Learning from droplet flows in microfluidic channels using deep neural networks
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Open Hardware for Microfluidics: Exploiting Raspberry Pi Singleboard Computer and Camera Systems for Customisable Laboratory Instrumentation;Biosensors;2023-10-23
2. CogniFlow-Drop: Integrated Modular System for Automated Generation of Droplets in Microfluidic Applications;IEEE Access;2023
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