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Abstract�� Colloidal gold immunochromatography assay concentration detecting method uses the colorimetric principle, which compares with the color standard card by using color varietal detection area, after a reaction between antigen of the measured liquid and antibody of the reagent strip. It-s a qualitative concentration analysis. At present, colloidal gold test strip is mostly semi-quantitative, which tends to limit its use. It adopted an embedded image processing system which based on the digital signal processor (DSP). The image information of the quantitative colloidal gold test strip was sampled by the image sensor complementary metal oxide semiconductor (CMOS), dealt by Bayer transformation, white balance processing, image feature information of fringe intensity extraction, and then established the functional relation between image feature information of fringe intensity and sample concentration, so it can realize accurate measurement. Compared with other methods, it has advantages of high precision, fast inspection speed and so on. The results show that the method of quantitative colloidal gold test strip concentration detection has upper applied value,which based on the DSP hardware platform, it precision can be up to ±5%,repeatability error reaches ±1%.

Keywords�� colloids-micelles image sensors image processing concentration

Received 2008-07-03;

Fund:

��տ�ѧ��Ŀ(2007ZD51050)

About author: �� ˧(1984-) ,Ů,��ʯ��,��ʿ��, shuai841007@yahoo.com.cn.

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�� ˧, ֣��, ��д�.��Լ��Ũ�ȼ�ⷽ��[J] ��պ��ѧѧ��, 2009,V35(8): 942-945

Wang Shuai, Zheng Dezhi, Fan Shangchun.Detecting method of quantitative colloidal gold test strip concentration[J] JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2009,V35(8): 942-945

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http://bhxb.buaa.edu.cn//CN/ �� http://bhxb.buaa.edu.cn//CN/Y2009/V35/I8/942

[1]	Abe C, Hirano K, Tomiyama T. Simple and rapid identification of the mycobacterium tuberculosis complex by immunochromatographic assay using anti-MPB64 monoclonal antibodies[J].Journal of Clinical Microbiology,1999,37(11):3693-3697
[2]	Jelinek T, Wastlhuber J, Proll S, et al. Influence of rheumatoid factor on the specificity of a rapid immunochromatographic test for diagnosing dengue infection[J].European Journal of Clinical Microbiology & Infectious Diseases.2000,19(7):555-556
[3]	Mayhew M,Griffiths H, Lucocq M. Applications of an efficient met hod for comparing immunogold labeling patterns in t he same set s of compartment s in different groups of cells [J]. Histochem Cell Biol,2004,122:171-177
[4]	��. Ƕ��ʽ��ֽ��ȡ�ǵ��о��ʵ�� .��:��ִ�ѧͨ�Ź��ѧԺ,2006 Wang Lei. The research and implementation of colloidal gold test strip reader on embedded system . Changchun:School of Communication Engineering,Jilin University,2006 (in Chinese)
[5]	��,��Ӥ.��DSP�Ĳ�ɫͼ��ɫ�ؽ��㷨��ʵ��[J].��,2002,28(8):111-113 Zhang Weining, Zhao Ziying. Three-color data reproduction algorithm and implementation for the color image based on CCD and DSPs [J]. Computer Engineering,2002,28(8):111-113 (in Chinese)
[6]	��, ��.��ͼ�񴫸��ɫ��ֵ�㷨�о�[J].С��΢�ͼ��ϵͳ,2007,28(8):1482-1485 He Qin, Liu Wenyu.Research on color interpolation algorithms for digital image sensors[J]. Journal of Chinese Computer Systems,2007,28(8):1482-1485 (in Chinese)
[7]	��,�ν�,��־��.��Ӧ��Զ��ƽ��㷨[J].��ͼ��ѧѧ��,2005,17(3):529-533 Zhou Rongzheng, He Jie, Hong Zhiliang. Adaptive algorithm of auto white balance for digital camera [J]. Journal of Computer-Aided Design & Computer Graphics,2005,17(3):529-533 (in Chinese)
[8]	Cheng Yongqing, Liu Ke, Yang Jingyu. A novel feature extraction method for image recognition based on similar discriminant function (SDF)[J].Pattern Recognition.1993,26(1):115-125