A Novel Method for Quantitative Analysis of C-Reactive Protein Lateral Flow Immunoassays Images via CMOS Sensor and Recurrent Neural Networks

A Novel Method for Quantitative Analysis of C-Reactive Protein Lateral Flow Immunoassays Images via CMOS Sensor and Recurrent Neural Networks

<bold>Objective:</bold> To design and implement an easy-to-use, Point-of-Care (PoC) lateral flow immunoassays (LFA) reader and data analysis system, which provides a more in-depth quantitative analysis for LFA images than conventional approaches thereby supporting efficient decision maki...

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Autores principales: Min Jing, Donal Mclaughlin, Sara E. Mcnamee, Shasidran Raj, Brian Mac Namee, David Steele, Dewar Finlay, James Mclaughlin
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Lateral flow immunoassays (LFA)
CMOS image sensor
long short-term memory (LSTM)
dynamic time warping
high-sensitivity C-Reactive Protein
Computer applications to medicine. Medical informatics
R858-859.7
Medical technology
R855-855.5
Acceso en línea:https://doaj.org/article/f37ed9ec1ed347629c47b14d33b993e2
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https://doaj.org/article/f37ed9ec1ed347629c47b14d33b993e2

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