Background suppression in fluorescence nanoscopy with stimulated emission double depletion
Stimulated emission depletion (STED) fluorescence nanoscopy is a powerful super-resolution imaging technique based on the confinement of fluorescence emission to the central subregion of an observation volume through de-excitation of fluorophores in the periphery via stimulated emission. Here, we in...
Gespeichert in:
Veröffentlicht in: | Nature photonics 2017-03, Vol.11 (3), p.163-169 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Stimulated emission depletion (STED) fluorescence nanoscopy is a powerful super-resolution imaging technique based on the confinement of fluorescence emission to the central subregion of an observation volume through de-excitation of fluorophores in the periphery via stimulated emission. Here, we introduce stimulated emission double depletion (STEDD) as a method to selectively remove artificial background intensity. In this approach, a first, conventional STED pulse is followed by a second, delayed Gaussian STED pulse that specifically depletes the central region, thus leaving only background. Thanks to time-resolved detection we can remove this background intensity voxel by voxel by taking the weighted difference of photons collected before and after the second STED pulse. STEDD thus yields background-suppressed super-resolved images as well as STED-based fluorescence correlation spectroscopy data. Furthermore, the proposed method is also beneficial when considering lower-power, less redshifted depletion pulses.
Stimulated emission double depletion addresses the issue of background in super-resolution imaging and quantitative microscopy through implementation of a two-pulse sequence in a modified stimulated emission depletion set-up. The measured background intensity is removed from each voxel in the acquired images thanks to time-resolved detection. |
---|---|
ISSN: | 1749-4885 1749-4893 |
DOI: | 10.1038/nphoton.2016.279 |