An automated pipeline for mitochondrial segmentation on ATUM-SEM stacks | |
Li, Weifu1,2; Deng, Hao2,3; Rao, Qiang2; Xie, Qiwei2; Chen, Xi2; Han, Hua2,4,5 | |
发表期刊 | JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY |
2017-06-01 | |
卷号 | 15期号:3页码:1750015 |
文章类型 | Article |
摘要 | It is possible now to look more closely into mitochondrial physical structures due to the rapid development of electron microscope (EM). Mitochondrial physical structures play important roles in both cellular physiology and neuronal functions. Unfortunately, the segmentation of mitochondria from EM images has proven to be a difficult and challenging task, due to the presence of various subcellular structures, as well as image distortions in the sophisticated background. Although the current state-of-the-art algorithms have achieved some promising results, they have demonstrated poor performances on these mitochondria which are in close proximity to vesicles or various membranes. In order to overcome these limitations, this study proposes explicitly modelling the mitochondrial double membrane structures, and acquiring the image edges by way of ridge detection rather than by image gradient. In addition, this study also utilizes group-similarity in context to further optimize the local misleading segmentation. Then, the experimental results determined from the images acquired by automated tape-collecting ultramicrotome scanning electron microscopy (ATUM-SEM) demonstrate the effectiveness of this study's proposed algorithm. |
关键词 | Atum-sem Membrane Enhancement Mitochondria Group-similarity |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Technology |
DOI | 10.1142/S0219720017500159 |
关键词[WOS] | ELECTRON-MICROSCOPY ; IMAGE SEGMENTATION ; CANCER ; RECONSTRUCTION ; SHAPE |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | Special Program of Beijing Municipal Science & Technology Commission(Z161100000216146) ; Strategic Priority Research Program of the CAS(XDB02060001) ; National Science Foundation of China(61673381 ; Institute of Automation, CAS(Y3J2031DZ1) ; 61201050 ; 61306070) |
WOS研究方向 | Biochemistry & Molecular Biology ; Computer Science ; Mathematical & Computational Biology |
WOS类目 | Biochemical Research Methods ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology |
WOS记录号 | WOS:000404061500009 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/15243 |
专题 | 类脑智能研究中心_微观重建与智能分析 |
作者单位 | 1.Hubei Univ, Fac Math & Stat, Wuhan 430062, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 3.Macau Univ Sci & Technol, Fac Informat Technol, Hefei 999078, Macau, Peoples R China 4.Univ Chinese Acad Sci, Future Technol Coll, Beijing 100190, Peoples R China 5.CBS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Li, Weifu,Deng, Hao,Rao, Qiang,et al. An automated pipeline for mitochondrial segmentation on ATUM-SEM stacks[J]. JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY,2017,15(3):1750015. |
APA | Li, Weifu,Deng, Hao,Rao, Qiang,Xie, Qiwei,Chen, Xi,&Han, Hua.(2017).An automated pipeline for mitochondrial segmentation on ATUM-SEM stacks.JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY,15(3),1750015. |
MLA | Li, Weifu,et al."An automated pipeline for mitochondrial segmentation on ATUM-SEM stacks".JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY 15.3(2017):1750015. |
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