The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Nanoparticles for super-resolution microscopy and single-molecule tracking
Open accessAbstract
We review the use of luminescent nanoparticles in super-resolution imaging and single-molecule tracking, and showcase novel approaches to super-resolution imaging that leverage the brightness, stability, and unique optical-switching properties of these nanoparticles. We also discuss the challenges associated with their use in biological systems, including intracellular delivery and molecular targeting. In doing so, we hope to provide practical guidance for biologists and continue to bridge the fields of super-resolution imaging and nanoparticle engineering to support their mutual advancement. This Perspective highlights recent advances in the use of nanoparticles in super-resolution microscopy and single-molecule tracking. It offers guidance for users interested in these tools and discusses potential future directions.
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Cites
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Self-citationDiffusion Dynamics of Glycine Receptors Revealed by Single-Quantum Dot Tracking
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Cited by
Single-particle spectroscopy for functional nanomaterials
Zhou, J., Chizhik, A. I., Chu, S., & Jin, D. (2020) · Nature · doi:10.1038/s41586-020-2048-8 · Cited by 253
Self-citationKhalin, I., Heimburger, D., Melnychuk, N., Collot, M., Groschup, B., Hellal, F., Reisch, A., Plesnila, N., & Klymchenko, A. S. (2020) · ACS Nano · doi:10.1021/acsnano.0c01505 · Cited by 82
Metadata
- Authors
- Jin, D., Xi, P., Wang, B., Zhang, L., Enderlein, J., & van Oijen, A. M.
- Venue
- Nature Methods
- Published
- 2018-05-28
- Volume
- 15
- Issue
- 6
- Pages
- 415-423
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2804717398
- Cited by
- 283
- References
- 74
- FWCI
- 17.31
- Type
- journal article
- Language
- en
- Open access
- green
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- Jin, D., Xi, P., Wang, B., Zhang, L., Enderlein, J., & van Oijen, A. M. (2018). Nanoparticles for super-resolution microscopy and single-molecule tracking. Nature Methods. https://doi.org/10.1038/s41592-018-0012-4
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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.
