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Cited by 182

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Magnetic and Fluorescent Nanoparticles for Multimodality Imaging

Mulder, Willem JM, Griffioen, Arjan W, Strijkers, Gustav J, Cormode, David P, Nicolay, Klaas, Fayad, Zahi A·2007·Nanomedicine

Abstract

The development of nanoparticulate contrast agents is providing an increasing contribution to the field of diagnostic and molecular imaging. Such agents provide several advantages over traditional compounds. First, they may contain a high payload of the contrast-generating material, which greatly improves their detectability. Second, multiple properties may be easily integrated within one nanoparticle to allow its detection with several imaging techniques or to include therapeutic qualities. Finally, the surface of such nanoparticles may be modified to improve circulation half-lives or to attach targeting groups. Magnetic resonance imaging and optical techniques are highly complementary imaging methods. Combining these techniques would therefore have significant advantages and may be realized through the use of nanoparticulate contrast agents. This review gives a survey of the different types of fluorescent and magnetic nanoparticles that have been employed for both magnetic resonance and optical imaging studies.

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Metadata

Authors
Mulder, W. J., Griffioen, A. W., Strijkers, G. J., Cormode, D. P., Nicolay, K., & Fayad, Z. A.
Venue
Nanomedicine
Published
2007-06
Volume
2
Issue
3
Pages
307-324
ISSN
  • 1743-5889 (ISSN-L)
  • 1748-6963
OpenAlex
W2164883654
Cited by
182
References
7
FWCI
13.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Magnetic and Fluorescent Nanoparticles for Multimodality Imaging. https://app.cochat.ai/papers/10.2217/17435889.2.3.307
The paper
Mulder, W. J., Griffioen, A. W., Strijkers, G. J., Cormode, D. P., Nicolay, K., & Fayad, Z. A. (2007). Magnetic and Fluorescent Nanoparticles for Multimodality Imaging. Nanomedicine. https://doi.org/10.2217/17435889.2.3.307

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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.