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相关论文: Orientation Determination of Cryo-EM Images Using …

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A major challenge in single particle reconstruction from cryo-electron microscopy is to establish a reliable ab-initio three-dimensional model using two-dimensional projection images with unknown orientations. Common-lines based methods…

机器学习 · 计算机科学 2013-04-11 Lanhui Wang , Amit Singer , Zaiwen Wen

Determining the 3D structures of biological molecules is a key problem for both biology and medicine. Electron Cryomicroscopy (Cryo-EM) is a promising technique for structure estimation which relies heavily on computational methods to…

机器学习 · 统计学 2015-01-29 Ali Punjani , Marcus A. Brubaker

Cryo-Electron Microscopy (Cryo-EM) is a Nobel prize-winning technology for determining the 3D structure of particles at near-atomic resolution. A fundamental step in the recovering of the 3D single-particle structure is to align its 2D…

图像与视频处理 · 电气工程与系统科学 2021-01-12 Koby Bibas , Gili Weiss-Dicker , Dana Cohen , Noa Cahan , Hayit Greenspan

A common task in single particle electron cryomicroscopy (cryo-EM) is the rigid alignment of images and/or volumes. In the context of images, a rigid alignment involves estimating the inner-product between one image of $N\times N$ pixels…

数值分析 · 数学 2022-12-07 Aaditya V. Rangan

Electron cryomicroscopy (cryo-EM) is an imaging technique widely used in structural biology to determine the three-dimensional structure of biological molecules from noisy two-dimensional projections with unknown orientations. As the…

数值分析 · 数学 2025-06-26 Bogdan Toader , Marcus A. Brubaker , Roy R. Lederman

Accurate pose estimation and shift correction are key challenges in cryo-EM due to the very low SNR, which directly impacts the fidelity of 3D reconstructions. We present an approach for pose estimation in cryo-EM that leverages…

计算机视觉与模式识别 · 计算机科学 2025-07-22 Kaishva Chintan Shah , Virajith Boddapati , Karthik S. Gurumoorthy , Sandip Kaledhonkar , Ajit Rajwade

In single-particle cryo-electron microscopy (cryo-EM), the efficient determination of orientation parameters for 2D projection images poses a significant challenge yet is crucial for reconstructing 3D structures. This task is complicated by…

图像与视频处理 · 电气工程与系统科学 2025-09-30 Szu-Chi Chung

Determining the three-dimensional structure of proteins and protein complexes at atomic resolution is a fundamental task in structural biology. Over the last decade, remarkable progress has been made using "single particle" cryo-electron…

数值分析 · 数学 2017-06-05 Alex Barnett , Leslie Greengard , Andras Pataki , Marina Spivak

Cryo-electron microscopy (cryo-EM) is capable of producing reconstructed 3D images of biomolecules at near-atomic resolution. As such, it represents one of the most promising imaging techniques in structural biology. However, raw cryo-EM…

定量方法 · 定量生物学 2021-05-25 Nina Miolane , Frédéric Poitevin , Yee-Ting Li , Susan Holmes

Cryo-electron microscopy (Cryo-EM) enables high-resolution imaging of biomolecules, but structural heterogeneity remains a major challenge in 3D reconstruction. Traditional methods assume a discrete set of conformations, limiting their…

机器学习 · 统计学 2025-09-09 Diego Sanchez Espinosa , Erik H Thiede , Yunan Yang

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

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

A major challenge in single-particle cryo-electron microscopy (cryo-EM) is that the orientations adopted by the 3D particles prior to imaging are unknown; yet, this knowledge is essential for high-resolution reconstruction. We present a…

机器学习 · 计算机科学 2021-04-14 Jelena Banjac , Laurène Donati , Michaël Defferrard

We introduce a new rotationally invariant viewing angle classification method for identifying, among a large number of Cryo-EM projection images, similar views without prior knowledge of the molecule. Our rotationally invariant features are…

生物大分子 · 定量生物学 2014-03-19 Zhizhen Zhao , Amit Singer

Aligning electron density maps from Cryogenic electron microscopy (cryo-EM) is a first key step for studying multiple conformations of a biomolecule. As this step remains costly and challenging, with standard alignment tools being…

生物大分子 · 定量生物学 2022-10-19 A. Tajmir Riahi , G. Woollard , F. Poitevin , A. Condon , K. Dao Duc

Single-particle electron cryomicroscopy (cryo-EM) is an increasingly popular technique for elucidating the three-dimensional structure of proteins and other biologically significant complexes at near-atomic resolution. It is an imaging…

计算物理 · 物理学 2020-04-01 Amit Singer , Fred J. Sigworth

Motivated by the trade-off between noise-robustness and data-consistency for joint 3D map reconstruction and rotation estimation in single particle cryogenic-electron microscopy (Cryo-EM), we propose ellipsoidal support lifting (ESL), a…

最优化与控制 · 数学 2023-08-21 Willem Diepeveen , Jan Lellmann , Ozan Öktem , Carola-Bibiane Schönlieb

Cryo-electron microscopy (cryo-EM) has emerged as a powerful technique for resolving the three-dimensional structures of macromolecules. A key challenge in cryo-EM is characterizing continuous heterogeneity, where molecules adopt a…

机器学习 · 统计学 2026-02-20 Roey Yadgar , Roy R. Lederman , Yoel Shkolnisky

Cryo-electron microscopy (cryo-EM) has become a tool of fundamental importance in structural biology, helping us understand the basic building blocks of life. The algorithmic challenge of cryo-EM is to jointly estimate the unknown 3D poses…

计算机视觉与模式识别 · 计算机科学 2022-09-01 Axel Levy , Frédéric Poitevin , Julien Martel , Youssef Nashed , Ariana Peck , Nina Miolane , Daniel Ratner , Mike Dunne , Gordon Wetzstein

Mirror Descent (MD) is a scalable first-order method widely used in large-scale optimization, with applications in image processing, policy optimization, and neural network training. This paper generalizes MD to optimization on Riemannian…

机器学习 · 统计学 2026-03-19 Jiaxin Jiang , Lei Shi , Jiyuan Tan
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