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. 2020 Jan 9;11:150. doi: 10.1038/s41467-019-13821-y

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© The Author(s) 2020

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. 5 — a Comparison between the fused images from a blind multi-view approach and our smart rotation workflow. The difference image is calculated as the difference in information content between the smart rotation generated image and the blind multi-view generated image. Number denotes relative image coverage. b Sample coverage measured as a percentage of the maximum possible against the number of views used. c Angles selected by the smart rotation evaluation during a 16 h time-lapse of a zebrafish embryo (Tg(kdrl:GFP)). d Sample coverage percentage comparison between the smart rotation workflows and blind multi-view workflow over the 16 h time-lapse. S denotes smart rotation workflow and B denotes blind multi-view workflow and number denotes and number of view used.