Robust projection parameter calibration in cryo-ET with L1-norm optimization
文献类型：期刊论文
| 作者 | Guo, Shengkai1; Xu, Zihe1; Li, Xinyan1; Yang, Zhidong2; Feng, Chenjie3; Han, Renmin1 |
| 刊名 | ULTRAMICROSCOPY
 |
| 出版日期 | 2025-08-01 |
| 卷号 | 274页码:10 |
| 关键词 | Cryo-ET Fiducial marker-based alignment Smoothing approximation |
| ISSN号 | 0304-3991 |
| DOI | 10.1016/j.ultramic.2025.114134 |
| 英文摘要 | Fiducial marker-based alignment in cryo-electron tomography (cryo-ET) has been extensively studied over a long period. The calibration of projection parameters using nonlinear least squares technique methodologies stands as the ultimate and pivotal stage in the alignment procedure. The efficacy of calibration is substantially impacted by noise and outliers in the marker data obtained from previous steps. Several robust fitting methods have been explored and implemented to address this issue by improving marker data or assigning weights to markers. However, these methods have their own limitations and often assume general Gaussian noise assumption, which may not accurately represent the distribution of noise and outliers in the marker data. In this work, we propose a robust projection parameter calibration model based on L1-norm optimization under Laplace noise assumption in order to overcome the limitations of existing methods. To efficiently solve the problem, we also design a faster and stabler first-order non-sparse method based on smooth approximation strategy. Additionally, we introduce subgradient and subdifferential for mathematical analysis. The accuracy, robustness, and efficacy of our approach are demonstrated through both simulated and real-world experiments. |
| 资助项目 | National Key Research and Development Program of China[2021YFF0704300] ; Fundamental Research Funds for the Central Universities, China ; Natural Science Foundation of Ningxia Province, China[2023AAC05036] ; Natural Science Foundation of Ningxia Province, China[2024AAC03247] ; National Natural Science Foundation of China[61932018] ; Natural Science Foundation of Shandong Province[ZR2023YQ057] ; Instrument Improvement Funds of Shandong University Public Technology Platform[ts20230204] ; [2024YCZX0041] ; [32241027] |
| WOS研究方向 | Microscopy |
| 语种 | 英语 |
| WOS记录号 | WOS:001488087200001 |
| 出版者 | ELSEVIER |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/42383]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Feng, Chenjie; Han, Renmin |
| 作者单位 | 1.Shandong Univ, Frontiers Sci Ctr Nonlinear Expectat, Res Ctr Math & Interdisciplinary Sci, Minist Educ,Cheeloo Coll Med,Qilu Hosp Qingdao, Qingdao 266237, Peoples R China 2.Inst Comp Technol, CAS, High Performance Comp Res Ctr, Beijing 100190, Peoples R China 3.Ningxia Med Univ, Coll Med Informat & Engn, Yinchuan 750004, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Shengkai,Xu, Zihe,Li, Xinyan,et al. Robust projection parameter calibration in cryo-ET with L1-norm optimization[J]. ULTRAMICROSCOPY,2025,274:10. |
| APA | Guo, Shengkai,Xu, Zihe,Li, Xinyan,Yang, Zhidong,Feng, Chenjie,&Han, Renmin.(2025).Robust projection parameter calibration in cryo-ET with L1-norm optimization.ULTRAMICROSCOPY,274,10. |
| MLA | Guo, Shengkai,et al."Robust projection parameter calibration in cryo-ET with L1-norm optimization".ULTRAMICROSCOPY 274(2025):10. |
入库方式： OAI收割
来源：计算技术研究所
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