The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
NIR luminescent nanomaterials for biomedical imaging
Abstract
Luminescent labels have been widely used for biological applications, primarily in bioimaging and assays. Recently much attention has been focused on the development of luminescent nanoprobes with excitation/emission maxima falling in the region of minimal tissue absorbance/autofluorescence between 650 and 1450 nm, an "imaging window". Tissues have minimal absorbance in this wavelength range allowing for deep penetration of light. This enables whole animal imaging with high sensitivity in core organs in real time without the need for dissection. While several excellent reviews cover various aspects of imaging, there has not been a review that covers NIR imaging nanomaterials adequately. In the present review, we will focus on nanomaterials which can be excited or emitted in NIR I (650-900 nm) and NIR II (1000-1450 nm) regions, including lanthanide based nanoparticles, carbon based nanoparticles, quantum dots and noble metal nanomaterials. We systematically summarize the recent progress in their fabrication and application in biomedical imaging, and discuss the shortcomings, challenges and opportunities in it.
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Cites
Chemistry and Properties of Nanocrystals of Different Shapes
Burda, C., Chen, X., Narayanan, R., & El-Sayed, M. A. (2005) · Chemical Reviews · doi:10.1021/cr030063a · Cited by 7,230
Nanostructures in Biodiagnostics
Rosi, N. L., & Mirkin, C. A. (2005) · Chemical Reviews · doi:10.1021/cr030067f · Cited by 4,603
A clearer vision for in vivo imaging
Weissleder, R. (2001) · Nature Biotechnology · doi:10.1038/86684 · Cited by 3,839
Second window for in vivo imaging
Smith, A. M., Mancini, M. C., & Nie, S. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.326 · Cited by 2,848
A route to brightly fluorescent carbon nanotubes for near-infrared imaging in mice
Welsher, K., Liu, Z., Sherlock, S. P., Robinson, J. T., Chen, Z., Daranciang, D., & Dai, H. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.294 · Cited by 1,287
One-step synthesis of fluorescent carbon nanoparticles by laser irradiation
Hu, S.-L., Niu, K.-Y., Sun, J., Yang, J., Zhao, N.-Q., & Du, X.-W. (2009) · J. Mater. Chem. · doi:10.1039/b812943f · Cited by 968
Welsher, K., Sherlock, S. P., & Dai, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1014501108 · Cited by 958
PET/MRI: Paving the Way for the Next Generation of Clinical Multimodality Imaging Applications
Pichler, B. J., Kolb, A., Nägele, T., & Schlemmer, H.-P. (2010) · Journal of Nuclear Medicine · doi:10.2967/jnumed.109.061853 · Cited by 418
Cited by
Glowing Graphene Quantum Dots and Carbon Dots: Properties, Syntheses, and Biological Applications
Zheng, X. T., Ananthanarayanan, A., Luo, K. Q., & Chen, P. (2015) · Small · doi:10.1002/smll.201402648 · Cited by 2,190
Current advances in lanthanide ion (Ln3+)-based upconversion nanomaterials for drug delivery
Yang, D., Ma, P., Hou, Z., Cheng, Z., Li, C., & Lin, J. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00155a · Cited by 743
Quantum dots in biomedical applications
Wagner, A. M., Knipe, J. M., Orive, G., & Peppas, N. A. (2019) · Acta Biomaterialia · doi:10.1016/j.actbio.2019.05.022 · Cited by 632
NIR-II bioimaging of small organic molecule
Su, Y., Yu, B., Wang, S., Cong, H., & Shen, Y. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.120717 · Cited by 251
Metadata
- Authors
- Wang, R., & Zhang, F.
- Venue
- Journal of Materials Chemistry B
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 2
- Issue
- 17
- Pages
- 2422
- ISSN
- 2050-750X (ISSN-L)
- 2050-7518
- OpenAlex
- W2003452979
- Cited by
- 170
- References
- 8
- FWCI
- 7.70
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
