The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Achieving high-efficiency emission depletion nanoscopy by employing cross relaxation in upconversion nanoparticles
Open accessAbstract
Stimulated emission depletion microscopy provides a powerful sub-diffraction imaging modality for life science studies. Conventionally, stimulated emission depletion requires a relatively high light intensity to obtain an adequate depletion efficiency through only light–matter interaction. Here we show efficient emission depletion for a class of lanthanide-doped upconversion nanoparticles with the assistance of interionic cross relaxation, which significantly lowers the laser intensity requirements of optical depletion. We demonstrate two-color super-resolution imaging using upconversion nanoparticles (resolution ~ 66 nm) with a single pair of excitation/depletion beams. In addition, we show super-resolution imaging of immunostained cytoskeleton structures of fixed cells (resolution ~ 82 nm) using upconversion nanoparticles. These achievements provide a new perspective for the development of photoswitchable luminescent probes and will broaden the applications of lanthanide-doped nanoparticles for sub-diffraction microscopic imaging.
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Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)
Rust, M. J., Bates, M., & Zhuang, X. (2006) · Nature Methods · doi:10.1038/nmeth929 · Cited by 8,078
Hong, Y., Lam, J. W. Y., & Tang, B. Z. (2011) · Chemical Society Reviews · doi:10.1039/c1cs15113d · Cited by 6,363
Tsien, R. Y. (1998) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.67.1.509 · Cited by 6,143
Hell, S. W., & Wichmann, J. (1994) · Optics Letters · doi:10.1364/ol.19.000780 · Cited by 6,065
Carbon quantum dots and their applications
Lim, S. Y., Shen, W., & Gao, Z. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00269e · Cited by 4,976
Gustafsson, M. G. L. (2000) · Journal of Microscopy · doi:10.1046/j.1365-2818.2000.00710.x · Cited by 3,786
Gustafsson, M. G. L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0406877102 · Cited by 2,224
Tuning upconversion through energy migration in core–shell nanoparticles
Wang, F., Deng, R., Wang, J., Wang, Q., Han, Y., Zhu, H., Chen, X., & Liu, X. (2011) · Nature Materials · doi:10.1038/nmat3149 · Cited by 1,795
Super-resolution fluorescence microscopy
Huang, B., Bates, M., & Zhuang, X. (2009) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.77.061906.092014 · Cited by 1,657
Self-citationA Photoactivatable GFP for Selective Photolabeling of Proteins and Cells
Patterson, G. H., & Lippincott-Schwartz, J. (2002) · Science · doi:10.1126/science.1074952 · Cited by 1,612
Cited by
Rare-Earth Doping in Nanostructured Inorganic Materials
Zheng, B., Fan, J., Chen, B., Qin, X., Wang, J., Wang, F., Deng, R., & Liu, X. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00644 · Cited by 1,204
Advances in highly doped upconversion nanoparticles
Wen, S., Zhou, J., Zheng, K., Bednarkiewicz, A., Liu, X., & Jin, D. (2018) · Nature Communications · doi:10.1038/s41467-018-04813-5 · Cited by 1,116
Nanoparticles for super-resolution microscopy and single-molecule tracking
Jin, D., Xi, P., Wang, B., Zhang, L., Enderlein, J., & van Oijen, A. M. (2018) · Nature Methods · doi:10.1038/s41592-018-0012-4 · Cited by 283
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Metadata
- Authors
- Zhan, Q., Liu, H., Wang, B., Wu, Q., Pu, R., Zhou, C., Huang, B., Peng, X., Ågren, H., & He, S.
- Venue
- Nature Communications
- Published
- 2017-10-20
- Volume
- 8
- Issue
- 1
- Pages
- 1058-1058
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2765079756
- Cited by
- 313
- References
- 40
- FWCI
- 14.34
- Type
- journal article
- Language
- en
- Open access
- gold
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