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. 2021 Apr 22;12:2371. doi: 10.1038/s41467-021-22277-y

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© The Author(s) 2021

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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Fig. 3 — (a) plots the numbers of each origami index observed in a single recording, based on template matching. The mean counts are shown as gray bars, with the percentage of the total origami indicated on the secondary axis. In (b), the mean number of total errors (top) for each structure is shown, based on template matching. The same errors are also shown after being grouped into false negatives (middle) and false positives (bottom). (c) depicts the percent of origami passed to the decoding algorithm that had both their indexes and data strings correctly identified. In (d), the percentage of each origami decoded is plotted against the mean number of errors for each structure. (e) shows histograms of the total mean numbers of errors found in origami identified by template matching (open bars) and the decoding algorithm (gray bars). The difference between the two is plotted in blue. Mean values for three experiments are depicted in all graphs, error bars indicate ±SD. Individual data points are plotted as small black circles.