A laser scanning confocal imaging-surface plasmon resonance system application in real time detection of antibody-antigen interaction

H. Y. Zhang; L. Q. Yang; W. M. Liu

doi:10.1117/12.901521

23 November 2011 A laser scanning confocal imaging-surface plasmon resonance system application in real time detection of antibody-antigen interaction

H. Y. Zhang, L. Q. Yang, W. M. Liu

Author Affiliations +

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80061O (2011) https://doi.org/10.1117/12.901521
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

The laser scanning confocal microscope (LSCM) offers several advantages over conventional optical microscopy, but most LSCM work is qualitative analysis and it is very hard to achieve quantitative detection directly with the changing of the fluorescent intensity. A new real time sensor system for the antibody-antigen interaction detection was built integrating with a LSCM and a wavelength-dependent surface plasmon resonance (SPR) sensor. The system was applied to detect the bonding process of human IgG and fluorescent-labeled affinity purified antibody in real time. The fluorescence images changing is well with that of SPR wavelengths in real time, and the trend of the resonance wavelength shift with the concentrations of antibody is similar to that of the fluorescent intensity changing. The results show that SPR makes up the short of quantificational analysis with LSCM with the high spatial resolution. The sensor system shows the merits of the of the LSCM and SPR synergetic application, which are of great importance for practical application in biosensor and life science for interesting local interaction.

Citation Download Citation

H. Y. Zhang, L. Q. Yang, and W. M. Liu "A laser scanning confocal imaging-surface plasmon resonance system application in real time detection of antibody-antigen interaction", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80061O (23 November 2011); https://doi.org/10.1117/12.901521

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