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Quantum dots as contrast agents for endoscopy: mathematical modeling and experimental validation of the optimal excitation wavelength

文献类型： 会议论文

第一作者： Mathieu Roy

作者： Mathieu Roy 1 ; Ralph S. DaCosta; Robert Weersink; George Netchev; Sean R. H. Davidson; Warren Chan; Brian C. Wilson; SPIE-The International Society for Optical Engineering;

作者机构： 1.Department of Medical Biophysics, University of Toronto, Toronto, ON;Laboratory of Applied Biophotonics, Toronto, ON;Institute of Biomaterial and Biomedical Engineering, University of Toronto, Toronto, ON;Ontario Cancer Institute, University Health Netwo

关键词： quantum dots;endoscopy;fluorescence imaging;contrast agent;ex vivo tissue;optical properties;modeling;autofluorescence;signal to background ratio

会议名称： SPIE vol.6448; Conference on Colloidal Quantum Dots for Biomedical Applications II; 20070120-21; San Jose,CA(US)

主办单位：

页码： 644812.1-644812.12

摘要： Our group is investigating the use of ZnS-capped CdSe quantum dot (QD) bioconjugates combined with fluorescence endoscopy for improved early cancer detection in the esophagus, colon and lung. A major challenge in using fluorescent contrast agents in vivo is to extract the relevant signal from the tissue autofluorescence (AF). Our studies are aimed at maximizing the QD signal to AF background ratio (SBR) to facilitate detection. This work quantitatively evaluates the effect of the excitation wavelength on the SBR, using both experimental measurements and mathematical modeling. Experimental SBR measurements were done by imaging QD solutions placed onto (surface) or embedded in (subsurface) ex vivo murine tissue samples (brain, kidney, liver, lung), using a polymethylmethacrylate (PMMA) microchannel phantom. The results suggest that the maximum contrast is reached when the excitation wavelength is set at 400 ± 20 μm for the surface configuration. For the sub-surface configuration, the optimal excitation wavelength varies with the tissue type and QD emission wavelengths. Our mathematical model, based on an approximation to the diffusion equation, successfully predicts the optimal excitation wavelength for the surface configuration, but needs further modifications to be accurate in the sub-surface configuration.

分类号： [ "R318.51" , "Q93"]

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