Deep Learning and Hybrid Deep Neural Network to Quantify Agglutination in Dual-Phase Lab-in-Tubing Microfluidics
Author:
Affiliation:
1. School of Engineering, The University of British Columbia, Kelowna, BC, Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/7782634/10589446/10585288.pdf?arnumber=10585288
Reference19 articles.
1. Ultrasensitive Antibody Detection by Agglutination-PCR (ADAP)
2. Emulsion Agglutination Assay for the Detection of Protein–Protein Interactions: An Optical Sensor for Zika Virus
3. High-Throughput Incubation and Quantification of Agglutination Assays in a Microfluidic System
4. A Rapid and Low-Cost Pathogen Detection Platform by Using a Molecular Agglutination Assay
5. Blood Group Typing: From Classical Strategies to the Application of Synthetic Antibodies Generated by Molecular Imprinting
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