Nat. Methods 11, 267–279 (2014); published online 27 February 2014; corrected after print 23 July 2014
In the version of this article initially published, 3D DAOSTORM was erroneously characterized in Table 2 as using least-squares fits. In fact, 3D DAOSTORM uses an implementation of maximum likelihood estimation (MLE). The error has been corrected in the HTML and PDF versions of the article.
Additional information
The online version of the original article can be found at 10.1038/nmeth.2844
Rights and permissions
About this article
Cite this article
Small, A., Stahlheber, S. Correction: Corrigendum: Fluorophore localization algorithms for super-resolution microscopy. Nat Methods 11, 971 (2014). https://doi.org/10.1038/nmeth0914-971a
Published:
Issue Date:
DOI: https://doi.org/10.1038/nmeth0914-971a
This article is cited by
-
Bayesian Multiple Emitter Fitting using Reversible Jump Markov Chain Monte Carlo
Scientific Reports (2019)
-
Kaleido: Visualizing Big Brain Data with Automatic Color Assignment for Single-Neuron Images
Neuroinformatics (2018)
-
Fast and Precise 3D Fluorophore Localization based on Gradient Fitting
Scientific Reports (2015)