Deep learning on lateral flow immunoassay for the analysis of detection data
Lateral flow immunoassay (LFIA) is an important detection method in vitro diagnosis, which has been widely used in medical industry. It is difficult to analyze all peak shapes through classical methods due to the complexity of LFIA. Classical methods are generally some peak-finding methods, which ca...
Main Authors: | Xinquan Liu, Kang Du, Si Lin, Yan Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-01-01
|
Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2023.1091180/full |
Similar Items
-
The Application of Lateral Flow Immunoassay in Point of Care Testing: A Review
by: Kan Wang, et al.
Published: (2016-09-01) -
Development of a Nucleic Acid Lateral Flow Immunoassay for the Detection of Human Polyomavirus BK
by: Yi-Huei Huang, et al.
Published: (2020-06-01) -
Advances in nanoparticle‐based lateral flow immunoassay for point‐of‐care testing
by: Doudou Lou, et al.
Published: (2022-01-01) -
Six decades of lateral flow immunoassay: from determining metabolic markers to diagnosing COVID-19
by: Boris G. Andryukov
Published: (2020-09-01) -
Development of a chromatographic lateral flow immunoassay for detection of African swine fever virus antigen in blood
by: Daniel W. Madden, et al.
Published: (2022-06-01)