Corrigendum: Spatiotemporal Clustering of Repeated Super-Resolution Localizations via Linear Assignment Problem

In the original article, there was an error. Eq. (2) was written incorrectly. A correction has been made to MATERIALS AND METHODS, Estimating Local Emitter Densities and Kinetic Rates, Paragraph Number 2:

The expected cumulative number of localizations observed by frame f is given by

In the original article, there was an error. An unlabeled equation was written incorrectly. Additionally, a line of text in the associated paragraph was written incorrectly. A correction has been made to MATERIALS AND METHODS, Estimating Local Emitter Densities and Kinetic Rates, Paragraph Number 4:

The local pre-cluster density corresponding to each pre-cluster is estimated by finding the k (chosen to be two in this study) nearest pre-clusters and then computing where r_k is the distance to the kth nearest pre-cluster. The underlying local emitter density present at the beginning of the experiment is then estimated for each pre-cluster aswhere f_end is the last frame containing localizations in the experiment.

The authors apologize for this error and state that this does not change the scientific conclusion of the article in any way. The original article has been updated.

Statements

Summary

Keywords

fluorescence microscopy, super-resolution, image analysis, computational modeling, single molecule techniques

Citation

Schodt DJ and Lidke KA (2022) Corrigendum: Spatiotemporal Clustering of Repeated Super-Resolution Localizations via Linear Assignment Problem. Front. Bioinform. 1:836606. doi: 10.3389/fbinf.2021.836606

Received

15 December 2021

Accepted

21 December 2021

Published

25 January 2022

Volume

1 - 2021

Edited and reviewed by

Thomas Pengo, University of Minnesota Twin Cities, United States

Updates

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Copyright

© 2022 Schodt and Lidke.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Keith A. Lidke, klidke@unm.edu

This article was submitted to Computational BioImaging, a section of the journal Frontiers in Bioinformatics

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