4.8 Article

Visualization of molecular fluorescence point spread functions via remote excitation switching fluorescence microscopy

Journal

NATURE COMMUNICATIONS
Volume 6, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/ncomms7287

Keywords

-

Funding

  1. 'Fonds voor Wetenschappelijk Onderzoek FWO' [G0607.09, G.0459.10, G0990.11, G.0197.11, G.0259.12, G.0962.13, G0B55.14]
  2. K.U. Leuven Research Fund [GOA 2011/03, CREA2009, OT/12/059]
  3. Flemish government (long term structural funding-Methusalem funding CASAS) [METH/08/04]
  4. Hercules foundation [HER/08/21]
  5. Belgian Federal Science Policy Office [IAP-VI/27]
  6. EU FP7 programme [ITN-SUPERIOR PITN-GA-2009-238177]
  7. European Research Council [280064, 307523, 291593]
  8. Japan Science and Technology Agency PRESTO programme
  9. Research Foundation-Flanders (FWO)
  10. Australian Research Council DECRA scheme [DE130101300]
  11. European Research Council (ERC) [291593, 307523] Funding Source: European Research Council (ERC)
  12. Australian Research Council [DE130101300] Funding Source: Australian Research Council

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The enhancement of molecular absorption, emission and scattering processes by coupling to surface plasmon polaritons on metallic nanoparticles is a key issue in plasmonics for applications in (bio) chemical sensing, light harvesting and photocatalysis. Nevertheless, the point spread functions for single-molecule emission near metallic nanoparticles remain difficult to characterize due to fluorophore photodegradation, background emission and scattering from the plasmonic structure. Here we overcome this problem by exciting fluorophores remotely using plasmons propagating along metallic nanowires. The experiments reveal a complex array of single-molecule fluorescence point spread functions that depend not only on nanowire dimensions but also on the position and orientation of the molecular transition dipole. This work has consequences for both single-molecule regime-sensing and super-resolution imaging involving metallic nanoparticles and opens the possibilities for fast size sorting of metallic nanoparticles, and for predicting molecular orientation and binding position on metallic nanoparticles via far-field optical imaging.

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