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. 2022 Feb 1;1:817254. doi: 10.3389/fbinf.2021.817254

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Copyright © 2022 Martens, Turkowyd and Endesfelder.

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.

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Computational methods to determine resolution in SMLM. (A) In FRC, the localization data is split randomly in two subsets, and the correlation of the Fourier transforms of these images at rings with increasing radius is calculated. The resolution of the dataset can then be calculated by determining where the FRC crosses the value of 1/7. (B) In NeNA, positions of identical emitters localized in subsequent frames are compared with each other, and the distribution of these distances is fitted with a non-central chi distribution. This fit provides a measure for localization resolution.