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Theory of Nanometric Optical Tweezers
Abstract
We propose a scheme for optical trapping and alignment of dielectric particles in aqueous environments at the nanometer scale. The scheme is based on the highly enhanced electric field close to a laser-illuminated metal tip and the strong mechanical forces and torque associated with these fields. We obtain a rigorous solution of Maxwell's equations for the electromagnetic fields near the tip and calculate the trapping potentials for a dielectric particle beyond the Rayleigh approximation. The results indicate the feasibility of the scheme.
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Citations
Cited by
Ghosh, S. K., & Pal, T. (2007) · Chemical Reviews · doi:10.1021/cr0680282 · Cited by 2,782
Mühlschlegel, P., Eisler, H.-J., Martin, O. J. F., Hecht, B., & Pohl, D. W. (2005) · Science · doi:10.1126/science.1111886 · Cited by 2,115
Near-Field Scanning Optical Microscopy
Dunn, R. C. (1999) · Chemical Reviews · doi:10.1021/cr980130e · Cited by 508
Righini, M., Ghenuche, P., Cherukulappurath, S., Myroshnychenko, V., García de Abajo, F. J., & Quidant, R. (2009) · Nano Letters · doi:10.1021/nl803677x · Cited by 344
Tip‐Enhanced Near‐Field Optical Microscopy
Hartschuh, A. (2008) · Angewandte Chemie International Edition · doi:10.1002/anie.200801605 · Cited by 295
Metadata
- Authors
- Novotny, L., Bian, R. X., & Xie, X. S.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1997-07-28
- Volume
- 79
- Issue
- 4
- Pages
- 645-648
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2160295737
- Cited by
- 1,009
- References
- 0
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- Novotny, L., Bian, R. X., & Xie, X. S. (1997). Theory of Nanometric Optical Tweezers. Physical Review Letters. https://doi.org/10.1103/physrevlett.79.645
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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.
