Automatic Reconstruction of Mitochondria and Endoplasmic Reticulum in Electron Microscopy Volumes by Deep Learning | |
Jing Liu; Linlin Li; Yang Yang; Bei Hong; Xi Chen; Qiwei Xie; Hua Han | |
刊名 | FRONTIERS IN NEUROSCIENCE
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2020 | |
期号 | 14页码:13 |
关键词 | mitochondriaendoplasmic reticulumelectron microscopessegmentation3D reconstruction |
英文摘要 | Together, mitochondria and the endoplasmic reticulum (ER) occupy more than 20% of a cell's volume, and morphological abnormality may lead to cellular function disorders. With the rapid development of large-scale electron microscopy (EM), manual contouring and three-dimensional (3D) reconstruction of these organelles has previously been accomplished in biological studies. However, manual segmentation of mitochondria and ER from EM images is time consuming and thus unable to meet the demands of large data analysis. Here, we propose an automated pipeline for mitochondrial and ER reconstruction, including the mitochondrial and ER contact sites (MAMs). We propose a novel recurrent neural network to detect and segment mitochondria and a fully residual convolutional network to reconstruct the ER. Based on the sparse distribution of synapses, we use mitochondrial context information to rectify the local misleading results and obtain 3D mitochondrial reconstructions. The experimental results demonstrate that the proposed method achieves state-of-the-art performance. |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/40589] ![]() |
专题 | 类脑智能研究中心_微观重建与智能分析 |
通讯作者 | Hua Han |
推荐引用方式 GB/T 7714 | Jing Liu,Linlin Li,Yang Yang,et al. Automatic Reconstruction of Mitochondria and Endoplasmic Reticulum in Electron Microscopy Volumes by Deep Learning[J]. FRONTIERS IN NEUROSCIENCE,2020(14):13. |
APA | Jing Liu.,Linlin Li.,Yang Yang.,Bei Hong.,Xi Chen.,...&Hua Han.(2020).Automatic Reconstruction of Mitochondria and Endoplasmic Reticulum in Electron Microscopy Volumes by Deep Learning.FRONTIERS IN NEUROSCIENCE(14),13. |
MLA | Jing Liu,et al."Automatic Reconstruction of Mitochondria and Endoplasmic Reticulum in Electron Microscopy Volumes by Deep Learning".FRONTIERS IN NEUROSCIENCE .14(2020):13. |
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