Front. Neuroinform. Frontiers in Neuroinformatics Front. Neuroinform. 1662-5196 Frontiers Media S.A. 10.3389/fninf.2023.1337766 Neuroscience Correction Corrigendum: Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder Cheng Ao 1 2 Shi Jiahao 2 Wang Lirong 1 2 * Zhang Ruobing 2 3 * 1School of Electronic and Information Engineering, Soochow University, Suzhou, China 2Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China 3Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China

Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland

 *Correspondence: Lirong Wang wanglirong@suda.edu.cn Ruobing Zhang zhangrb@sibet.ac.cn 27 11 2023 2023 17 1337766 13 11 2023 14 11 2023 Copyright © 2023 Cheng, Shi, Wang and Zhang. 2023 Cheng, Shi, Wang and Zhang

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 A corrigendum on Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder by Cheng, A., Shi, J., Wang, L., and Zhang, R. (2023). Front. Neuroinform. 17:1118419. doi: 10.3389/fninf.2023.1118419 neural segmentation SEM image masked autoencoder image segmentation self-supervised learning

In the published article, there was an error in the Acknowledgements section. We erroneously excluded contributions to this article from those who prepared the samples.

A correction has been made to the Acknowledgements section.

The corrected sentence appears below:

“We would like to thank Dingsan Luo and Renzheng Liu of the Jiangsu Key Laboratory of Medical Optics at the Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, for their meticulous preparation of the mouse corpus callosum samples. We also would like to thank the Hanhua Lab from the Institute of Automation, Chinese Academy of Sciences for the corpus callosum SEM data.”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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