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. 2023 Apr 10;18(4):336–342. doi: 10.1038/s41565-023-01328-z

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 5 — (a) The sequence shows images before and after drift correction and the impact this has on image quality and artefact generation using NanoJ-SQUIRREL. RSF: Resolution Scaling Function (b) Quantitative definition of the impact of image drift correction on one of the main NanoJ-SQUIRREL outputs (Resolution Scaled Pearson coefficient or RSP). RSE: Relative scaling error. Statistical testing was performed using a two-tailed paired t-test.