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Cryo-electron microscopy (cryoEM) is an increasingly popular method for protein structure determination. However, identifying a sufficient number of particles for analysis (often >100,000) can take months of manual effort. Current…

Quantitative Methods · Quantitative Biology 2019-10-17 Tristan Bepler , Andrew Morin , Julia Brasch , Lawrence Shapiro , Alex J. Noble , Bonnie Berger

We introduce a framework for recovering an image from its rotationally and translationally invariant features based on autocorrelation analysis. This work is an instance of the multi-target detection statistical model, which is mainly used…

Image and Video Processing · Electrical Eng. & Systems 2022-03-03 Nicholas F. Marshall , Ti-Yen Lan , Tamir Bendory , Amit Singer

Accurate identification of ice phases is essential for understanding various physicochemical phenomena. However, such classification for structures simulated with molecular dynamics is complicated by the complex symmetries of ice polymorphs…

Materials Science · Physics 2024-07-15 Hong Sun , Sebastien Hamel , Tim Hsu , Babak Sadigh , Vince Lordi , Fei Zhou

Electroencephalography (EEG) denoising methods typically depend on manual intervention or clean reference signals. This work introduces a task-oriented learning framework for automatic EEG denoising that uses only task labels without clean…

Signal Processing · Electrical Eng. & Systems 2026-03-12 Tian-Yu Xiang , Zheng Lei , Xiao-Hu Zhou , Xiao-Liang Xie , Shi-Qi Liu , Mei-Jiang Gui , Hong-Yun Ou , Xin-Zheng Huang , Xin-Yi Fu , Zeng-Guang Hou

Cryo-Electron Tomography (Cryo-ET) enables detailed 3D visualization of cellular structures in near-native states but suffers from low signal-to-noise ratio due to imaging constraints. Traditional denoising methods and supervised learning…

Image and Video Processing · Electrical Eng. & Systems 2025-02-25 Xiwei Liu , Mohamad Kassab , Min Xu , Qirong Ho

Background and Objective: The contrast of cryo-EM images varies from one to another, primarily due to the uneven thickness of the ice layer. This contrast variation can affect the quality of 2-D class averaging, 3-D ab-initio modeling, and…

Computer Vision and Pattern Recognition · Computer Science 2022-07-01 Yunpeng Shi , Amit Singer

A deep convolutional neural network has been developed to denoise atomic-resolution TEM image datasets of nanoparticles acquired using direct electron counting detectors, for applications where the image signal is severely limited by shot…

The central problem in cryo-electron microscopy (cryo-EM) is to recover the 3D structure from noisy 2D projection images which requires estimating the missing projection angles (poses). Recent methods attempted to solve the 3D…

Computer Vision and Pattern Recognition · Computer Science 2023-02-15 Lin Yao , Ruihan Xu , Zhifeng Gao , Guolin Ke , Yuhang Wang

Single particle electron cryomicroscopy (cryo-EM) allows for structures of proteins and protein complexes to be determined from images of non-crystalline specimens. Cryo-EM data analysis requires electron microscope images of randomly…

Instrumentation and Detectors · Physics 2015-11-23 Jianhua Zhao , Marcus A. Brubaker , Samir Benlekbir , John L. Rubinstein

High-resolution structure determination by cryo-electron microscopy (cryo-EM) requires the accurate fitting of an atomic model into an experimental density map. Traditional refinement pipelines such as Phenix.real_space_refine and Rosetta…

Biomolecules · Quantitative Biology 2026-03-10 Fuyao Huang , Xiaozhu Yu , Kui Xu , Qiangfeng Cliff Zhang

Cryo-Electron Microscopy (cryo-EM) has become an extremely powerful method for resolving structural details of large biomolecular complexes. However, challenging problems in single-particle methods remain open because of (1) the low…

Biomolecules · Quantitative Biology 2019-08-12 Shengnan Lyu , Christian Wülker , Yuqing Pan , Amitesh S. Jayaraman , Jianhao Zheng , Yilin Cai , Gregory S. Chirikjian

Many recent works utilize denoising score matching to optimize the conditional input of diffusion models. In this workshop paper, we demonstrate that such optimization breaks the equivalence between denoising score matching and exact score…

Machine Learning · Computer Science 2025-11-18 Tongda Xu

We revisit the topic of common lines between projection images in single particle cryo-electron microscopy (cryo-EM). We derive a novel low-rank constraint on a certain $2n \times n$ matrix storing properly-scaled basis vectors for the…

Optimization and Control · Mathematics 2024-06-10 Tommi Muller , Adriana L. Duncan , Eric J. Verbeke , Joe Kileel

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…

Optimization and Control · Mathematics 2024-11-06 Qi Zhang , Chenglong Bao , Hai Lin , Mingxu Hu

Single particle cryo-electron microscopy (EM) is an increasingly popular method for determining the 3-D structure of macromolecules from noisy 2-D images of single macromolecules whose orientations and positions are random and unknown. One…

Computer Vision and Pattern Recognition · Computer Science 2017-04-11 Roy R. Lederman , Amit Singer

Electron cryo-microscopy (cryo-EM) produces three-dimensional (3D) maps of the electrostatic potential of biological macromolecules, including proteins. Along with knowledge about the imaged molecules, cryo-EM maps allow de novo atomic…

Quantitative Methods · Quantitative Biology 2023-02-09 Kiarash Jamali , Dari Kimanius , Sjors H. W. Scheres

Unlike single image task, stereo image enhancement can use another view information, and its key stage is how to perform cross-view feature interaction to extract useful information from another view. However, complex noise in low-light…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Minghua Zhao , Xiangdong Qin , Shuangli Du , Xuefei Bai , Jiahao Lyu , Yiguang Liu

Single-particle cryo-EM has transformed structural biology but still faces challenges in resolving conformational heterogeneity at atomic resolution. Existing cryo-EM heterogeneity analysis methods either lack atomic details or tend to…

Biomolecules · Quantitative Biology 2025-10-21 Chengwei Zhang , Shimian Li , Yihao Niu , Zhen Zhu , Sihao Yuan , Sirui Liu , Yi Qin Gao

Cryo-electron microscopy (cryo-EM) has revolutionized experimental protein structure determination. Despite advances in high resolution reconstruction, a majority of cryo-EM experiments provide either a single state of the studied…

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…

Machine Learning · Statistics 2025-09-09 Diego Sanchez Espinosa , Erik H Thiede , Yunan Yang
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