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Cited by 194

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Two-photon-induced photoluminescence imaging of tumors using near-infrared excited gold nanoshells

Open access
Park, Jaesook, Estrada, Arnold, Sharp, Kelly, Sang, Krystina, Schwartz, Jon A., Smith, Danielle K., Coleman, Chris, Payne, J. Donald, Korgel, Brian A., Dunn, Andrew K., Tunnell, James W.·2008·Optics Express

Abstract

Gold nanoshells (dielectric silica core/gold shell) are a novel class of hybrid metal nanoparticles whose unique optical properties have spawned new applications including more sensitive molecular assays and cancer therapy. We report a new photo-physical property of nanoshells (NS) whereby these particles glow brightly when excited by near-infrared light. We characterized the luminescence brightness of NS, comparing to that of gold nanorods (NR) and fluorescent beads (FB). We find that NS are as bright as NR and 140 times brighter than FB. To demonstrate the potential application of this bright two-photon-induced photoluminescence (TPIP) signal for biological imaging, we imaged the 3D distribution of gold nanoshells targeted to murine tumors.

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Crossref · 10.1364/oe.16.001590

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Metadata

Authors
Park, J., Estrada, A., Sharp, K., Sang, K., Schwartz, J. A., Smith, D. K., Coleman, C., Payne, J. D., Korgel, B. A., Dunn, A. K., & Tunnell, J. W.
Venue
Optics Express
Published
2008-01-23
Volume
16
Issue
3
Pages
1590
ISSN
1094-4087 (ISSN-L)
OpenAlex
W2148694942
Cited by
194
References
2
FWCI
8.86
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Two-photon-induced photoluminescence imaging of tumors using near-infrared excited gold nanoshells. https://app.cochat.ai/papers/10.1364/oe.16.001590
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Park, J., Estrada, A., Sharp, K., Sang, K., Schwartz, J. A., Smith, D. K., Coleman, C., Payne, J. D., Korgel, B. A., Dunn, A. K., & Tunnell, J. W. (2008). Two-photon-induced photoluminescence imaging of tumors using near-infrared excited gold nanoshells. Optics Express. https://doi.org/10.1364/oe.16.001590

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.