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TomoAlign: A novel approach to correcting sample motion and 3D CTF in CryoET
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/1873-3468.13948openalex-snapshot
The promise and the challenges of cryo‐electron tomography
inferredcites →https://doi.org/10.1002/pro.3938openalex-snapshot
High resolution electron tomography and segmentation‐by‐modeling interpretation in Bsoft
inferredcites →https://doi.org/10.1006/jsbi.1996.0013openalex-snapshot
Computer Visualization of Three-Dimensional Image Data Using IMOD
inferredcites →https://doi.org/10.1006/jsbi.1996.0030openalex-snapshot
SPIDER and WEB: Processing and Visualization of Images in 3D Electron Microscopy and Related Fields
inferredcites →https://doi.org/10.1007/s12010-003-0001-6openalex-snapshot
Numerical recipes in C++: The art of scientific computing
inferredcites →https://doi.org/10.1016/j.jmb.2003.07.013openalex-snapshot
Optimal Determination of Particle Orientation, Absolute Hand, and Contrast Loss in Single-particle Electron Cryomicroscopy
inferredcites →https://doi.org/10.1016/j.jsb.2009.08.016openalex-snapshot
CTF determination and correction for low dose tomographic tilt series
inferredcites →https://doi.org/10.1016/j.jsb.2015.08.008openalex-snapshot
CTFFIND4: Fast and accurate defocus estimation from electron micrographs
inferredcites →https://doi.org/10.1016/j.jsb.2016.06.016openalex-snapshot
Three-dimensional CTF correction improves the resolution of electron tomograms
inferredcites →https://doi.org/10.1016/j.jsb.2017.07.007openalex-snapshot
Efficient 3D-CTF correction for cryo-electron tomography using NovaCTF improves subtomogram averaging resolution to 3.4 Å
inferredcites →https://doi.org/10.1016/j.jsb.2018.02.001openalex-snapshot
Cryo-tomography tilt-series alignment with consideration of the beam-induced sample motion
inferredcites →https://doi.org/10.1016/j.jsb.2019.01.005openalex-snapshot
Consideration of sample motion in cryo-tomography based on alignment residual interpolation
inferredcites →https://doi.org/10.1016/j.micron.2012.05.003openalex-snapshot
Computational methods for electron tomography
inferredcites →https://doi.org/10.1016/j.str.2012.10.016openalex-snapshot
Protein Secondary Structure Determination by Constrained Single-Particle Cryo-Electron Tomography
inferredcites →https://doi.org/10.1016/j.str.2015.06.026openalex-snapshot
Advances in Single-Particle Electron Cryomicroscopy Structure Determination applied to Sub-tomogram Averaging
inferredcites →https://doi.org/10.1016/j.ultramic.2006.02.004openalex-snapshot
CTF determination and correction in electron cryotomography
inferredcites →https://doi.org/10.1016/j.ultramic.2008.03.004openalex-snapshot
Restoration of weak phase-contrast images recorded with a high degree of defocus: The “twin image” problem associated with CTF correction
inferredcites →https://doi.org/10.1016/j.ultramic.2013.06.004openalex-snapshot
High-resolution noise substitution to measure overfitting and validate resolution in 3D structure determination by single particle electron cryomicroscopy
inferredcites →https://doi.org/10.1016/s0304-3991(00)00005-xopenalex-snapshot
Defocus-gradient corrected back-projection
inferredcites →https://doi.org/10.1038/ncomms9403openalex-snapshot
Structure of the native Sec61 protein-conducting channel
inferredcites →https://doi.org/10.1038/nprot.2016.124openalex-snapshot
Resolving macromolecular structures from electron cryo-tomography data using subtomogram averaging in RELION
inferredcites →https://doi.org/10.1038/s41467-020-17466-0openalex-snapshot
Subnanometer-resolution structure determination in situ by hybrid subtomogram averaging - single particle cryo-EM
inferredcites →https://doi.org/10.1038/s41592-018-0167-zopenalex-snapshot
emClarity: software for high-resolution cryo-electron tomography and subtomogram averaging
inferredcites →https://doi.org/10.1038/s41592-019-0591-8openalex-snapshot
A complete data processing workflow for cryo-ET and subtomogram averaging
inferredcites →https://doi.org/10.1038/s41592-019-0651-0openalex-snapshot
In situ structure determination at nanometer resolution using TYGRESS
inferredcites →https://doi.org/10.1038/s41592-020-01054-7openalex-snapshot
Multi-particle cryo-EM refinement with M visualizes ribosome-antibiotic complex at 3.5 Å in cells
inferredcites →https://doi.org/10.1073/pnas.1911119116openalex-snapshot
Tubulin lattice in cilia is in a stressed form regulated by microtubule inner proteins
inferredcites →https://doi.org/10.1083/jcb.201009037openalex-snapshot
Correlated fluorescence and 3D electron microscopy with high sensitivity and spatial precision
inferredcites →https://doi.org/10.1093/bioinformatics/btq692openalex-snapshot
Fast tomographic reconstruction on multicore computers
inferredcites →https://doi.org/10.1101/2020.08.23.263707openalex-snapshot
Size matters: optimal mask diameter and box size for single-particle cryogenic electron microscopy
inferredcites →https://doi.org/10.1107/s2059798321001856openalex-snapshot
Using RELION software within the Scipion framework
inferredcites →https://doi.org/10.1118/1.3673956openalex-snapshot
A filtered backprojection algorithm with characteristics of the iterative landweber algorithm
inferredcites →https://doi.org/10.1126/science.abb7927openalex-snapshot
Cryo-EM with sub–1 Å specimen movement
inferredcites →https://doi.org/10.2307/2234664openalex-snapshot
Numerical Recipes in C: The Art of Scientific Computing.
inferredcites →https://doi.org/10.7554/elife.06980openalex-snapshot
Measuring the optimal exposure for single particle cryo-EM using a 2.6 Å reconstruction of rotavirus VP6
inferredcites →https://doi.org/10.7554/elife.43434openalex-snapshot
Electron cryo-tomography provides insight into procentriole architecture and assembly mechanism
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/b978-0-443-18829-9.00009-8openalex-snapshot
Validation methods in cryo-electron tomography
inferred← citeshttps://doi.org/10.1016/j.jsb.2022.107872openalex-snapshot
ScipionTomo: Towards cryo-electron tomography software integration, reproducibility, and validation
inferred← citeshttps://doi.org/10.1016/j.jsb.2023.108056openalex-snapshot
A deep learning approach to the automatic detection of alignment errors in cryo-electron tomographic reconstructions
inferred← citeshttps://doi.org/10.1016/j.jsb.2023.108057openalex-snapshot
Accurate, automatic determination of astigmatism and phase with Ctfplotter in IMOD
inferred← citeshttps://doi.org/10.1016/j.jsb.2024.108153openalex-snapshot
Automatic detection of alignment errors in cryo-electron tomography
inferred← citeshttps://doi.org/10.1016/j.pbiomolbio.2026.01.002openalex-snapshot
Recent advances in targeting regions of interest for In situ cryo-electron tomography of cellular architecture
inferred← citeshttps://doi.org/10.1016/j.ultramic.2026.114362openalex-snapshot
About the alignment and 3D reconstruction of sparse cryo-scanning transmission electron tomography datasets
inferred← citeshttps://doi.org/10.1038/s41551-025-01354-3openalex-snapshot
Enhancing phage therapy by coating single bacteriophage-infected bacteria with polymer to preserve phage vitality
inferred← citeshttps://doi.org/10.1038/s41592-026-03093-yopenalex-snapshot
AreTomoLive: automated reconstruction of comprehensively corrected and denoised cryo-electron tomograms in real time and at high throughput
inferred← citeshttps://doi.org/10.1101/2024.03.02.583135openalex-snapshot
DUAL: deep unsupervised simultaneous simulation and denoising for cryo-electron tomography
inferred← citeshttps://doi.org/10.1101/2024.06.30.601442openalex-snapshot
OPUS-TOMO: Towards Resolving Dynamics and Compositional Heterogeneities of Biomolecules with Cryo-Electron Tomography
inferred← citeshttps://doi.org/10.1109/bibm62325.2024.10821841openalex-snapshot
Innovative 3D CTF Correction Techniques for Cryo-ET of Individual Particles
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095454openalex-snapshot
Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields
inferred← citeshttps://doi.org/10.1109/tci.2023.3346294openalex-snapshot
Differentiable Uncalibrated Imaging
inferred← citeshttps://doi.org/10.1109/tci.2024.3519805openalex-snapshot
Ice-Tide: Implicit Cryo-ET Imaging and Deformation Estimation
inferred← citeshttps://doi.org/10.1146/annurev-arplant-070225-042126openalex-snapshot
Cryo-Electron Tomography in Plant Biology
inferred← citeshttps://doi.org/10.1146/annurev-biophys-092022-100958openalex-snapshot
Cryo-Electron Tomography: The Resolution Revolution and a Surge of In Situ Virological Discoveries
inferred← citeshttps://doi.org/10.3389/fcimb.2023.1135013openalex-snapshot
Computational methods for in situ structural studies with cryogenic electron tomography
inferred← citeshttps://doi.org/10.3389/fmolb.2024.1390858openalex-snapshot
The advent of preventive high-resolution structural histopathology by artificial-intelligence-powered cryogenic electron tomography
inferred← citeshttps://doi.org/10.3390/electronics12071753openalex-snapshot
RETRACTED: Development of a Platform for Learning Cybersecurity Using Capturing the Flag Competitions
inferred← citeshttps://doi.org/10.3390/ijms241713375openalex-snapshot
Extensive Angular Sampling Enables the Sensitive Localization of Macromolecules in Electron Tomograms
inferred← citeshttps://doi.org/10.52601/bpr.2025.240073openalex-snapshot
Interactions between membrane proteins and lipid membrane revealed by cryoEM
inferred← citeshttps://doi.org/10.64898/2026.04.29.721716openalex-snapshot
MissAlignment Teaches Itself Better Cryo-ET Tilt-Series Alignment by Making It Worse
inferred← citeshttps://doi.org/10.64898/2026.06.15.732138openalex-snapshot
3dcon: tomogram denoising by deconvolution
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