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3D PARTICLE PICKING IN CRYO-ELECTRON TOMOGRAMS USING INSTANCE SEGMENTATION 会议论文
, Bordeaux, France, 16-19 October 2022
Authors:  Guole Liu;  Yaoru Luo;  Ge Yang
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DeepETPicker: Fast and accurate 3D particle picking for cryo-electron tomography using weakly supervised deep learning 期刊论文
Nature Communications, 2024, 卷号: 15, 期号: 1, 页码: 2090
Authors:  Guole Liu;  Tongxin Niu;  Mengxuan Qiu;  Yun Zhu;  Fei Sun;  Ge Yang
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Cryo-electron tomography  particle picking  deep learning  weakly supervised learning  
面向生物多模态显微成像数据的大规模三维重建方法及应用 学位论文
, 2024
Authors:  刘家正
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光学显微镜,体电子显微镜,多模态成像,三维重建,自动分割算法  
基于序列切片电子断层成像的神经元细胞器三维重建算法研究 学位论文
, 2023
Authors:  常胜
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电子显微镜  序列电子断层扫描  去噪  拼接配准  损失信息生成  
面向神经切片的电镜像质提升方法研究 学位论文
, 2023
Authors:  王泽锦
Adobe PDF(81291Kb)  |  Favorite  |  View/Download:139/4  |  Submit date:2023/06/11
电镜像质提升  自监督去噪  序列切片插帧  各向同性重建  
Fast Particle Picking for Cryo-Electron Tomography Using One-Stage Detection 会议论文
, Kolkata, India, 2022-3
Authors:  Wu SY(吴诗雨);  Liu GL(刘国乐);  Yang G(杨戈)
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Particle picking  Cryo-electron tomography  Object detection  Deep learning  Convolutional neural network  
基于目标检测的冷冻电镜三维图像粒子快速挑选方法 学位论文
专业硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  吴诗雨
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粒子检测  目标检测  深度学习  冷冻电子断层扫描  
Ferritin nanocages for early theranostics of tumors via inflammation-enhanced active targeting 期刊论文
SCIENCE CHINA-LIFE SCIENCES, 2021, 页码: 13
Authors:  Jiang, Bing;  Jia, Xiaohua;  Ji, Tianjiao;  Zhou, Meng;  He, Jiuyang;  Wang, Kun;  Tian, Jie;  Yan, Xiyun;  Fan, Kelong
Adobe PDF(2143Kb)  |  Favorite  |  View/Download:297/7  |  Submit date:2021/11/03
ferritin nanocage  early theranostics  tumor-associated inflammation  multimodality tumor imaging  drug delivery  
Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography 期刊论文
IEEE Transactions on Biomedical Engineering, 2021, 卷号: 68, 期号: 99, 页码: 1
Authors:  Yin, Lin;  Wang, Kun;  Tong, Tong;  Wang, Qian;  An, Yu;  Yang, Xin;  Tian, Jie
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adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2019, 卷号: 38, 期号: 12, 页码: 2726-2734
Authors:  Hui Meng;  Kun Wang;  Yuan Gao;  Yushen Jin;  Xibo Ma;  Jie Tian
Adobe PDF(2085Kb)  |  Favorite  |  View/Download:323/82  |  Submit date:2019/09/26
Fluorescence Tomography  Multi-modality Fusion  Brain