Skip to main content

Advertisement

Log in

Detecting nano-scale protein clustering

  • News & Views
  • Published:

From Nature Methods

View current issue Submit your manuscript

Two approaches for robust, objective segmentation of single-molecule localization data promise better quantitative insights into protein clustering from super-resolution imaging methods.

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

Access this article

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

Instant access to the full article PDF.

Figure 1: Different ways to cluster single-molecule localization–based super-resolution data.

References

  1. Rubin-Delanchy, P. et al. Nat. Methods 12, 1072–1076 (2015).

    Article  CAS  Google Scholar 

  2. Levet, F. et al. Nat. Methods 12, 1065–1071 (2015).

    Article  CAS  Google Scholar 

  3. Kiskowski, M.A., Hancock, J.F. & Kenworthy, A.K. Biophys. J. 97, 1095–1103 (2009).

    Article  CAS  Google Scholar 

  4. Owen, D.M. et al. J. Biophotonics 3, 446–454 (2010).

    Article  CAS  Google Scholar 

  5. Baddeley, D., Cannell, M.B. & Soeller, C. Microsc. Microanal. 16, 64–72 (2010).

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David Baddeley.

Ethics declarations

Competing interests

The author declares no competing financial interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Baddeley, D. Detecting nano-scale protein clustering. Nat Methods 12, 1019–1020 (2015). https://doi.org/10.1038/nmeth.3641

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nmeth.3641

  • Springer Nature America, Inc.

This article is cited by

Navigation