Cryogenic Electron Microscopy (cryo-EM)

10 papers with code • 0 benchmarks • 0 datasets

Analysis of images and videos from transmission electron microscopes, including single-particle cryogenic electron microscopy and cryogenic electron tomography (cryo-ET).

Most implemented papers

Reconstructing continuous distributions of 3D protein structure from cryo-EM images

zhonge/cryodrgn ICLR 2020

Cryo-electron microscopy (cryo-EM) is a powerful technique for determining the structure of proteins and other macromolecular complexes at near-atomic resolution.

Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data

juglab/cryocare_t2t 12 Oct 2018

Cryo-transmission electron microscopy (cryo-TEM) could profoundly benefit from improved denoising methods, unfortunately it is one of the latter.

Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes

PrincetonUniversity/specvols 1 Jul 2019

An important challenge in cryo-EM is the reconstruction of non-rigid molecules with parts that move and deform.

Sequence-guided protein structure determination using graph convolutional and recurrent networks

leeneil/structure-generator 14 Jul 2020

Single particle, cryogenic electron microscopy (cryo-EM) experiments now routinely produce high-resolution data for large proteins and their complexes.

Deep manifold learning reveals hidden dynamics of proteasome autoregulation

AlphaCryo4D/AlphaCryo4D 23 Dec 2020

The 2. 5-MDa 26S proteasome maintains proteostasis and regulates myriad cellular processes.

Learning to automate cryo-electron microscopy data collection with Ptolemy

smlc-nysbc/ptolemy 1 Dec 2021

Automating this is non-trivial: the images suffer from low signal-to-noise ratio and are affected by a range of experimental parameters that can differ for each collection session.

A Molecular Prior Distribution for Bayesian Inference Based on Wilson Statistics

ma-gilles/wilson_prior 18 Feb 2022

Furthermore, it improves the resolution of estimates on the problems considered for a wide range of SNR and produces Fourier Shell Correlation curves that are insensitive to masking effects.

AlignOT: An optimal transport based algorithm for fast 3D alignment with applications to cryogenic electron microscopy density maps

artajmir3/rpe 17 Oct 2022

Aligning electron density maps from Cryogenic electron microscopy (cryo-EM) is a first key step for studying multiple conformations of a biomolecule.

EMPOT: partial alignment of density maps and rigid body fitting using unbalanced Gromov-Wasserstein divergence

geoffwoollard/learn_cryoem_math 1 Nov 2023

Aligning EM density maps and fitting atomic models are essential steps in single particle cryogenic electron microscopy (cryo-EM), with recent methods leveraging various algorithms and machine learning tools.

Moment-based metrics for molecules computable from cryo-EM images

aszhang107/moment-based-metrics 26 Jan 2024

Further, we introduce a metric between a stack of projection images and a molecular structure, which is invariant to rotations and reflections and does not require performing 3-D reconstruction.