Fast, single-molecule localization that achieves theoretically minimum uncertainty

Nat Methods. 2010 May;7(5):373-5. doi: 10.1038/nmeth.1449. Epub 2010 Apr 4.


We describe an iterative algorithm that converges to the maximum likelihood estimate of the position and intensity of a single fluorophore. Our technique efficiently computes and achieves the Cramér-Rao lower bound, an essential tool for parameter estimation. An implementation of the algorithm on graphics processing unit hardware achieved more than 10(5) combined fits and Cramér-Rao lower bound calculations per second, enabling real-time data analysis for super-resolution imaging and other applications.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Likelihood Functions*
  • Microscopy, Fluorescence / methods*
  • Reproducibility of Results
  • Software
  • Uncertainty