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Cryogenic electron microscopy (Cryo-EM) has become an essential tool for capturing high-resolution biological structures. Despite its advantage in visualizations, the large storage size of Cryo-EM data file poses significant challenges for…

机器学习 · 计算机科学 2025-12-16 Chunyu Zou

Cryo-electron microscopy (cryo-EM) remains pivotal in structural biology, yet the task of protein particle picking, integral for 3D protein structure construction, is laden with manual inefficiencies. While recent AI tools such as Topaz and…

计算机视觉与模式识别 · 计算机科学 2023-11-29 Fei He , Zhiyuan Yang , Mingyue Gao , Biplab Poudel , Newgin Sam Ebin Sam Dhas , Rajan Gyawali , Ashwin Dhakal , Jianlin Cheng , Dong Xu

Mapping conformational heterogeneity of macromolecules presents a formidable challenge to X-ray crystallography and cryo-electron microscopy, which often presume its absence. This has severely limited our knowledge of the conformations…

生物物理 · 物理学 2015-05-14 P. Schwander , R. Fung , G. N. Phillips , A. Ourmazd

The living body is composed of innumerable fine and complex structures and although these structures have been studied in the past, a vast amount of information pertaining to them still remains unknown. When attempting to observe these…

Cryo-electron tomography enables 3D visualization of cells in a near native state at molecular resolution. The produced cellular tomograms contain detailed information about all macromolecular complexes, their structures, their abundances…

定量方法 · 定量生物学 2019-04-30 Min Xu , Elitza I Tocheva , Yi-Wei Chang , Grant J Jensen , Frank Alber

Cryo-electron microscopy (cryo-EM) has emerged as a powerful technique for determining the three-dimensional structures of biological molecules at near-atomic resolution. However, reconstructing helical assemblies presents unique challenges…

定量方法 · 定量生物学 2026-03-16 Guy Shapira , Yoel Shkolnisky

In this paper, we demonstrate a computationally efficient new approach based on deep learning (DL) techniques for analysis, design, and optimization of electromagnetic (EM) nanostructures. We use the strong correlation among features of a…

机器学习 · 计算机科学 2020-02-13 Yashar Kiarashinejad , Sajjad Abdollahramezani , Ali Adibi

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…

图像与视频处理 · 电气工程与系统科学 2022-03-03 Nicholas F. Marshall , Ti-Yen Lan , Tamir Bendory , Amit Singer

Throughout the history of electron microscopy, ribosomes have served as an ideal subject for imaging and technological development, which in turn has driven our understanding of ribosomal biology. Here, we provide a historical perspective…

生物大分子 · 定量生物学 2023-08-31 Samantha M. Webster , Mira B. May , Barrett M. Powell , Joseph H. Davis

Cryo-electron microscopy (cryo-EM) studies using single particle reconstruction is extensively used to reveal structural information of macromolecular complexes. Aiming at the highest achievable resolution, state of the art electron…

计算机视觉与模式识别 · 计算机科学 2020-05-04 Ramin Norousi , Stephan Wickles , Thomas Becker , Roland Beckmann , Volker J. Schmid , Achim Tresch

We describe a new generation of algorithms capable of mapping the structure and conformations of macromolecules and their complexes from large ensembles of heterogeneous snapshots, and demonstrate the feasibility of determining both…

生物物理 · 物理学 2014-04-30 P. Schwander , R. Fung , A. Ourmazd

Simulation-based inference provides a powerful framework for cryo-electron microscopy, employing neural networks in methods like CryoSBI to infer biomolecular conformations via learned latent representations. This latent space represents a…

定量方法 · 定量生物学 2025-09-05 Luke Evans , Octavian-Vlad Murad , Lars Dingeldein , Pilar Cossio , Roberto Covino , Marina Meila

Cryo-electron microscopy (cryo-EM) studies using single particle reconstruction are extensively used to reveal structural information on macromolecular complexes. Aiming at the highest achievable resolution, state of the art electron…

Programmable self-assembly has recently enabled the creation of complex structures through precise control of the interparticle interactions and the particle geometries. Targeting ever more structurally complex, dynamic, and functional…

In single particle reconstruction (SPR) from cryo-electron microscopy (cryo-EM), the 3D structure of a molecule needs to be determined from its 2D projection images taken at unknown viewing directions. Zvi Kam showed already in 1980 that…

计算机视觉与模式识别 · 计算机科学 2016-02-24 Tejal Bhamre , Teng Zhang , Amit Singer

Cryo-electron tomography (Cryo-ET) is a powerful tool in structural biology for 3D visualization of cells and biological systems at resolutions sufficient to identify individual proteins in situ. The measurements are collected by tilting…

信号处理 · 电气工程与系统科学 2025-09-03 Vinith Kishore , Valentin Debarnot , AmirEhsan Khorashadizadeh , Ivan Dokmanić

Cryo-electron tomography (cryoET) is a technique that captures images of biological samples at different tilts, preserving their native state as much as possible. Along with the partial tilt series and noise, one of the major challenges in…

信号处理 · 电气工程与系统科学 2023-07-26 Vinith Kishore , Valentin Debarnot , Ivan Dokmanić

Cryo-electron microscopy (cryo-EM) enables the atomic-resolution visualization of biomolecules; however, modern direct detectors generate data volumes that far exceed the available storage and transfer bandwidth, thereby constraining…

图像与视频处理 · 电气工程与系统科学 2026-03-31 Zain Shabeeb , Daniel Saeedi , Darin Tsui , Vida Jamali , Amirali Aghazadeh

Cryo-electron microscopy is a state-of-the-art method for determining high-resolution three-dimensional models of molecules, from their two-dimensional projection images taken by an electron microscope. A crucial step in this method is to…

图像与视频处理 · 电气工程与系统科学 2022-12-16 Eitan Rosen , Yoel Shkolnisky

Electron Cryo-Tomography (ECT) enables 3D visualization of macromolecule structure inside single cells. Macromolecule classification approaches based on convolutional neural networks (CNN) were developed to separate millions of…

定量方法 · 定量生物学 2018-03-28 Jialiang Guo , Bo Zhou , Xiangrui Zeng , Zachary Freyberg , Min Xu