Algorithms for immunochromatographic assay: review and impact on future application-Reference-Cited by-同舟云学术

Algorithms for immunochromatographic assay: review and impact on future application

Author:

Qin Qi¹²³⁴⁵,Wang Kan¹²³⁴⁵^ORCID,Yang Jinchuan¹²³⁴⁵,Xu Hao⁶⁷³⁸⁹,Cao Bo¹²³⁴⁵,Wo Yan¹⁰¹¹¹²¹³¹⁴,Jin Qinghui¹⁵¹⁶¹⁷¹⁸¹⁹^ORCID,Cui Daxiang¹²³⁴⁵^ORCID

Affiliation:

1. Department of Instrument Science and Engineering

2. School of Electronic Information and Electrical Engineering

3. Shanghai Jiao Tong University

4. Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument

5. Key Laboratory of Thin Film and Microfabrication (Ministry of Education)

6. School of Naval Architecture

7. Ocean & Civil Engineering

8. Shanghai 200240

9. China

10. Department of Plastic and Reconstructive Surgery

11. Shanghai Ninth People's Hospital

12. School of Medicine

13. Shanghai JiaoTong University

14. Shanghai

15. State Key Laboratory of Transducer Technology

16. Shanghai Institute of Microsystem and Information Technology

17. Chinese Academy of Sciences

18. Shanghai 200050

19. People's Republic of China

Abstract

This review summarizes different models for the lateral flow immunoassay technology when combined with artificial intelligence and deep learning.

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Shanghai Jiao Tong University

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

Reference123 articles.

1. C. Raphael and Y.Harley , in Lateral Flow Immunoassay , Humana Press , New York , 2008 , pp. 167–183

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