Retraction of: Scientific Reports https://doi.org/10.1038/s41598-025-09522-w, published online 11 July 2025
The Editors have retracted this Article because content from the Article was copied from publicly available online repositories that were used for a data science competition. Figure 3, which is misrepresented in this article, was duplicated from the CryoET Data Portal [1]. The open-source code used, the approach implemented and Figure 4 were all gathered from the competition’s main repository [2].
Zixin Zhang and Xiangyu Li agree with the retraction and its wording. Zhikui Tian disagrees with the retraction. Ziyang Liu, Chunhong Yuan, Xiang Zhou, Zhen Tian, Yuting Pei, and Zuowen Jiang did not respond to the Editors’ correspondence about this retraction.
References
Ermel, U. et al. A data portal for providing standardized annotations for cryo-electron tomography. Nat. Methods 21, 2200–2202. https://doi.org/10.1038/s41592-024-02477-2 (2024).
Harrington, K., Paraan, M., Cheng, A., Ermel, U. H., Kandel, S., Kimanius, D., Montabana, E., Peck, A., Schwartz, J., Serwas, D., Siems, H., Wang, F., Yu, Y., Zhao, Z., Zheng, S., Reade, W., Demkin, M., Maitland, K., McCarthy, D., Haury, M., Agard, D., Potter, C. & Carragher, B. CZII—CryoET Object Identification (Kaggle, 2024).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Liu, Z., Yuan, C., Zhang, Z. et al. Retraction Note: A hybrid YOLO-UNet3D framework for automated protein particle annotation in Cryo-ET images. Sci Rep 15, 43290 (2025). https://doi.org/10.1038/s41598-025-30984-5
Published:
Version of record:
DOI: https://doi.org/10.1038/s41598-025-30984-5