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. 2021 Feb 10;4:179. doi: 10.1038/s42003-021-01699-w

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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, b The probability maps of myelinated axons, mitochondria, and myelin returned from DCNN-mAx, overlaid on their corresponding BM4D filtered images. c The CSD algorithm decomposed myelinated axons with erroneous merges. d 3D rendering of DeepACSON final segmentation of myelinated axons (at one-third of the original resolution) in the contralateral corpus callosum and cingulum of sham #25 low-resolution dataset. e 3D rendering of myelinated axons sampled at the corpus callosum and cingulum illustrates the variance of the axonal diameter among myelinated axons and the orientation dispersion in these bundles.