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This paper is concerned with investigating super-resolution algorithms and solutions for handling electron microscopic images. We note two main aspects differentiating the problem discussed here from those considered in the literature. The…

图像与视频处理 · 电气工程与系统科学 2020-08-26 Yanjun Qian , Jiaxi Xu , Lawrence F. Drummy , Yu Ding

Electron cryotomography (CryoET) is currently the only method capable of visualizing cells in 3D at nanometer resolutions. While modern instruments produce massive amounts of tomography data containing extremely rich structural information,…

定量方法 · 定量生物学 2021-07-01 Muyuan Chen , James M. Bell , Xiaodong Shi , Stella Y. Sun , Zhao Wang , Steven J. Ludtke

Cryogenic electron microscopy (cryo-EM) has become an enabling technology in drug discovery and in understanding molecular bases of disease by producing near-atomic resolution (less than 0.4 nm) 3D reconstructions of biological…

计算机视觉与模式识别 · 计算机科学 2020-07-23 Hong Xu , David E. Timm , Shireen Y. Elhabian

We consider the problem of nonparametric estimation of the conformational variability in a population of related structures, based on low-dose tomography of a random sample of representative individuals. In this context, each individual…

统计理论 · 数学 2025-07-15 Ho Yun , Alessia Caponera , Victor M. Panaretos

Multiobjective optimization problems with heterogeneous objectives are defined as those that possess significantly different types of objective function components (not just incommensurable in units or scale). For example, in a…

神经与进化计算 · 计算机科学 2021-03-30 Richard Allmendinger , Joshua Knowles

The problem and implications of community detection in networks have raised a huge attention, for its important applications in both natural and social sciences. A number of algorithms has been developed to solve this problem, addressing…

社会与信息网络 · 计算机科学 2014-02-28 Cristian Bisconti , Angelo Corallo , Laura Fortunato , Antonio A. Gentile

We presented a new 3D refinement method for Cryo-EM single particle analysis which can improve the resolution of final electron density map in this paper. We proposed to enforce both sparsity and smoothness to improve the regularity of…

图像与视频处理 · 电气工程与系统科学 2020-03-12 Zhenwei Luo

In cryo-electron microscopy (EM), molecular structures are determined from large numbers of projection images of individual particles. To harness the full power of this single-molecule information, we use the Bayesian inference of EM…

生物大分子 · 定量生物学 2018-01-17 Pilar Cossio , David Rohr , Fabio Baruffa , Markus Rampp , Volker Lindenstruth , Gerhard Hummer

This paper presents a high-accuracy higher-order multiscale method for solving multi-continuum problems in in highly heterogeneous media. First, microscopic unit cell functions are defined, leading to the derivation of macroscopic…

数值分析 · 数学 2026-04-08 Hao Dong , Jiayuan Peng , Jian Huang

Cryogenic electron microscopy (cryo-EM) is an invaluable technique for determining high-resolution three-dimensional structures of biological macromolecules using transmission particle images. The inherent symmetry in these macromolecules…

最优化与控制 · 数学 2024-11-06 Qi Zhang , Chenglong Bao , Hai Lin , Mingxu Hu

The challenge to fully exploit the potential of existing and upcoming scientific instruments like large single-dish radio telescopes is to process the collected massive data effectively and efficiently. As a "quasi 2D stencil computation"…

分布式、并行与集群计算 · 计算机科学 2022-07-12 Hao Wang , Ce Yu , Jian Xiao , Shanjiang Tang , Min Long , Ming Zhu

Electron microscopy is widely used to explore defects in crystal structures, but human detecting of defects is often time-consuming, error-prone, and unreliable, and is not scalable to large numbers of images or real-time analysis. In this…

Automated and semi-automated techniques in biomedical electron microscopy (EM) enable the acquisition of large datasets at a high rate. Segmentation methods are therefore essential to analyze and interpret these large volumes of data, which…

计算机视觉与模式识别 · 计算机科学 2023-08-08 Anusha Aswath , Ahmad Alsahaf , Ben N. G. Giepmans , George Azzopardi

The amount of image datasets collected for environmental monitoring purposes has increased in the past years as computer vision assisted methods have gained interest. Computer vision applications rely on high-quality datasets, making data…

计算机视觉与模式识别 · 计算机科学 2024-12-23 Mikko Impiö , Philipp M. Rehsen , Jenni Raitoharju

Cryo-Electron Microscopy (cryo-EM) has emerged as a key technology to determine the structure of proteins, particularly large protein complexes and assemblies in recent years. A key challenge in cryo-EM data analysis is to automatically…

生物大分子 · 定量生物学 2023-04-04 Nabin Giri , Raj S. Roy , Jianlin Cheng

AI computation in healthcare faces significant challenges when clinical datasets are limited and heterogeneous. Integrating datasets from multiple sources and different equipments is critical for effective AI computation but is complicated…

信号处理 · 电气工程与系统科学 2025-04-07 Baozhuo Su , Qingli Dou , Kang Liu , Zhengxian Qu , Jerry Deng , Ting Tan , Yanan Gu

Analyzing microscopy images to extract biological object properties (e.g., their morphological organization, temporal dynamics, and population density) is fundamental to various biomedical research. Yet conducting this manually is costly…

计算机视觉与模式识别 · 计算机科学 2026-05-15 Xiaofei Hui , Haoxuan Qu , Hossein Rahmani , Shuohong Wang , Jeff W. Lichtman , Jun Liu

Cryo-electron microscopy (cryo-EM) emerges as a pivotal technology for determining the architecture of cells, viruses, and protein assemblies at near-atomic resolution. Traditional particle picking, a key step in cryo-EM, struggles with…

生物大分子 · 定量生物学 2024-04-17 Chentianye Xu , Xueying Zhan , Min Xu

In homogenization theory, mathematical models at the macro level are constructed based on the solution of auxiliary cell problems at the micro level within a single periodicity cell. These problems are formulated using asymptotic expansions…

数值分析 · 数学 2025-06-10 P. N. Vabishchevich

Clustered data is ubiquitous in a variety of scientific fields. In this paper, we propose a flexible and interpretable modeling approach, called grouped heterogenous mixture modeling, for clustered data, which models cluster-wise…

统计方法学 · 统计学 2020-02-10 Shonosuke Sugasawa