Skip to main content
SpringerLink
Log in

Einzelne Viruspartikel mit STORM darstellen und analysieren

Super Resolution-Mikroskopie in der Virologie

  • Anwendungen & Produkte
  • Published:
BIOspektrum Aims and scope

Abstract

The stochastic optical reconstruction microscopy (STORM) enables a tenfold resolution improvement over conventional fluorescence microscopy. This allows virologists for the first time to depict individual virus particles or their components without an electron microscope in their real size. Furthermore, individual viral proteins can be localized more precisely in infected cells. This leads to a better understanding of the mechanisms of viral infections.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Literatur

  1. Abbe E (1873) Beiträge zur Theorie des Mikroskops und der mikroskopischen Wahrnehmung. Arch F Mikroskop Anat 99:413–420

    Article  Google Scholar 

  2. Rust MJ, Bates M, Zhuang X (2006) Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM). Nat Methods 3: 793–795

    Article  PubMed  CAS  Google Scholar 

  3. Huang B, Wang W, Bates M et al. (2008) Three-dimensional super-resolution imaging by stochastic optical reconstruction microscopy. Science 319:810–813

    Article  PubMed  CAS  Google Scholar 

  4. Heilemann M, van de Linde S, Schüttpelz M et al. (2008) Subdiffraction-resolution fluorescence imaging with conventional fluorescent probes. Angew Chem Int Ed Engl 47:6172–6176

    Article  PubMed  CAS  Google Scholar 

  5. Muranyi W, Malkusch S, Müller B et al. (2013) Super-resolution microscopy reveals specific recruitment of HIV-1 envelope proteins to viral assembly sites dependent on the envelope C-terminal tail. PLoS Pathog 9:e1003198

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Heinrich-Pette-Institut, Leibniz-Institut für Experimentelle Virologie, Hamburg, Deutschland

    Dennis Eggert & Rudolph Reimer

  2. Institut für Physikalische Chemie, Universität Hamburg, Hamburg, Deutschland

    Dennis Eggert

  3. Forschungsgruppe Elektronenmikroskopie und Mikrotechnologie, Heinrich-Pette-Institut, Martinistraße 52, D-20251, Hamburg, Deutschland

    Dennis Eggert & Rudolph Reimer

  4. Nikon GmbH, Tiefenbroicher Weg 25, D-40472, Düsseldorf, Deutschland

    Jörg Kukulies

Authors
  1. Dennis Eggert
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rudolph Reimer
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jörg Kukulies
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Dennis Eggert or Rudolph Reimer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Eggert, D., Reimer, R. & Kukulies, J. Einzelne Viruspartikel mit STORM darstellen und analysieren. Biospektrum 19, 290–291 (2013). https://doi.org/10.1007/s12268-013-0311-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12268-013-0311-3

Search

Navigation