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A new imaged-based quantitative reader for the gold immunochromatographic assay

  • Published:2018-01 Issue: Volume:152 Page:92-99
  • ISSN:0030-4026
  • Container-title:Optik
  • language:en
  • Short-container-title:Optik

Author:

Zeng Nianyin,You Yi,Xie Lusheng,Zhang Hong,Ye Lishan,Hong Wenxing,Li Yurong

Funder

National Natural Science Foundation of China

UK-China Industry Academia Partnership Programme

Fujian Natural Science Foundation

Fujian Provincial Key Laboratory of Eco-Industrial Green Technology

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference19 articles.

1. A hybrid EKF and switching PSO algorithm for joint state and parameter estimation of lateral flow immunoassay models;Zeng;IEEE/ACM Trans. Comput. Biol. Bioinf.,2011

2. Lateral Flow Immunoassay;Wong,2009

3. Inference of nonlinear state-space models for sandwich-type lateral flow immunoassay using extended Kalman filtering;Zeng;IEEE Trans. Biomed. Eng.,2011

4. Developing rapid mobile POC systems. Part 1: Devices and applications for lateral-flow immunodiagnostics;Faulstich;IVD Technol.,2007

5. Image-based quantitative analysis of gold immunochromatographic strip via cellular neural network approach;Zeng;IEEE Trans. Med. Imaging,2014

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