Convolutional Neural Network for Accurate Analysis of Methamphetamine With Upconversion Lateral Flow Biosensor-Reference-Cited by-同舟云学术

Convolutional Neural Network for Accurate Analysis of Methamphetamine With Upconversion Lateral Flow Biosensor

Published:2023-01 Issue:1 Volume:22 Page:38-44
ISSN:1536-1241
Container-title:IEEE Transactions on NanoBioscience
language:
Short-container-title:IEEE Trans.on Nanobioscience

Author:

Huang Lei¹^ORCID,Tian Shulin¹,Zhao Wenhao¹,Liu Ke¹^ORCID,Ma Xing²^ORCID,Guo Jinhong³^ORCID

Affiliation:

1. School of Automation Engineering, University of Electronic School and Technology of China, Chengdu, China

2. School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen, China

3. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Pharmaceutical Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/7728/10003093/09694603.pdf?arnumber=9694603

Reference38 articles.

1. Advantages of time-resolved fluorescent nanobeads compared with fluorescent submicrospheres, quantum dots, and colloidal gold as label in lateral flow assays for detection of ractopamine

2. A Simple Optical Reader for Upconverting Phosphor Particles Captured on Lateral Flow Strip

3. Lateral flow assays: Principles, designs and labels

4. Rapid quantitative detection of Yersinia pestis by lateral-flow immunoassay and up-converting phosphor technology-based biosensor

5. Near-infrared fluorescence-based multiplex lateral flow immunoassay for the simultaneous detection of four antibiotic residue families in milk

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