Machine learning powered detection of biological toxins in association with confined lateral flow immunoassay (c-LFA)-Reference-Cited by-同舟云学术

Machine learning powered detection of biological toxins in association with confined lateral flow immunoassay (c-LFA)

Published:2024 Issue:18 Volume:149 Page:4702-4713
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Choi Seoyeon¹²^ORCID,Ha Seongmin¹,Kim Chanmi²,Nie Cheng¹,Jang Ju-Hong³,Jang Jieun³⁴,Kwon Do Hyung³⁴,Lee Nam-Kyung³⁴,Lee Jangwook³⁴,Jeong Ju Hwan⁵^ORCID,Yang Wonjun³,Jung Hyo-Il¹²^ORCID

Affiliation:

1. School of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea

2. TheDABOM Inc., Seoul, 03722, Republic of Korea

3. Biotherapeutics Translational Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea

4. Department of Biomolecular Science, Korea Research Institute of Bioscience and Biotechnology, School of Bioscience, Korea University of Science and Technology, Daejeon, 34113, Republic of Korea

5. Chem-Bio Technology Center, Agency for Defense Development, Daejeon, 34186, Republic of Korea

Abstract

The machine learning powered confined lateral flow immunoassay (c-LFA) for detecting biological toxins.

Funder

Defense Acquisition Program Administration

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/AN/D4AN00593G

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