Automatic reconstruction of mitochondria and and endoplasmic reticulum in electron microscopy volumes by deep learning | |
Liu, Jing1,3; li, Linlin1; Yang, Yang2; Hong, Bei1,3; Chen, Xi1; Xie, Qiwei1,4; Han, Hua1,3,5 | |
刊名 | Frontiers in Neuroscience |
2020-07 | |
卷号 | 14期号:无页码:599 |
关键词 | mitochondria endoplasmic reticulum electron microscopes segmentation 3D 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/173211/46606] |
专题 | 自动化研究所_类脑智能研究中心 |
通讯作者 | Xie, Qiwei; Han, Hua |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.School of Life Science and Technology, ShanghaiTech University 3.School of Artificial Intelligence, School of Future Technology, University of Chinese Academy of Sciences 4.Data Mining Lab, Beijing University of Technology 5.CAS Center for Excellence in Brain Science and Intelligence Technology |
推荐引用方式 GB/T 7714 | Liu, Jing,li, Linlin,Yang, Yang,et al. Automatic reconstruction of mitochondria and and endoplasmic reticulum in electron microscopy volumes by deep learning[J]. Frontiers in Neuroscience,2020,14(无):599. |
APA | Liu, Jing.,li, Linlin.,Yang, Yang.,Hong, Bei.,Chen, Xi.,...&Han, Hua.(2020).Automatic reconstruction of mitochondria and and endoplasmic reticulum in electron microscopy volumes by deep learning.Frontiers in Neuroscience,14(无),599. |
MLA | Liu, Jing,et al."Automatic reconstruction of mitochondria and and endoplasmic reticulum in electron microscopy volumes by deep learning".Frontiers in Neuroscience 14.无(2020):599. |
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