Paper
27 February 2007 Quantum dots as contrast agents for endoscopy: mathematical modeling and experimental validation of the optimal excitation wavelength
Mathieu Roy, Ralph S. DaCosta, Robert Weersink, George Netchev, Sean R. H. Davidson, Warren Chan, Brian C. Wilson
Author Affiliations +
Abstract
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 (sub-surface) 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 &mgr;m 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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mathieu Roy, Ralph S. DaCosta, Robert Weersink, George Netchev, Sean R. H. Davidson, Warren Chan, and Brian C. Wilson "Quantum dots as contrast agents for endoscopy: mathematical modeling and experimental validation of the optimal excitation wavelength", Proc. SPIE 6448, Colloidal Quantum Dots for Biomedical Applications II, 644812 (27 February 2007); https://doi.org/10.1117/12.700954
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Cited by 7 scholarly publications.
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KEYWORDS
Tissues

Atrial fibrillation

Mathematical modeling

Lung

Natural surfaces

Liver

Kidney

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