Improved borders detection of areas enriched with gold nanoparticles inside biological phantom

Yossef Danan; Zeev Zalevsky; Moshe Sinvani

doi:10.1117/12.2253695

22 February 2017 Improved borders detection of areas enriched with gold nanoparticles inside biological phantom

Yossef Danan, Zeev Zalevsky, Moshe Sinvani

Proceedings Volume 10077, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIV; 100770F (2017) https://doi.org/10.1117/12.2253695
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Utilizing the surface plasmon resonance (SPR) effect of gold nanoparticles (GNPs) enables their using as contrast agents in a variety of biomedical applications for diagnostics and treatment. These applications use both the very strong scattering and absorption properties of the GNPs due to their SPR effects. Most imaging methods use the light-scattering properties of the GNPs. However, the illumination source is in the same wavelength of the GNPs scattering wavelength, leading to background noise caused by light scattering from the tissue. In this paper we present a method to improve border detection of regions enriched with GNPs aiming for real time application of complete tumor resection by utilizing the absorption of specially targeted GNPs using photothermal imaging. Phantoms containing different concentrations of GNPs were irradiated with continuous-wave laser and measured with a thermal imaging camera which detected the temperature field of the irradiated phantoms. By modulating the laser illumination, and use of a simple post processing, the border location was identified in accuracy of better than 0.5 mm even when the surrounding area get heated. This work is in continuation to our previous research¹.

Conference Presentation

Citation Download Citation

Yossef Danan, Zeev Zalevsky, and Moshe Sinvani "Improved borders detection of areas enriched with gold nanoparticles inside biological phantom", Proc. SPIE 10077, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIV, 100770F (22 February 2017); https://doi.org/10.1117/12.2253695

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