Advanced Electron Microscopy Techniques and Applications

This paper introduces a method to generate synthetic Cryo-ET data for training deep learning models, enabling accurate restoration and segmentation of real tomograms.

The paper determines high-resolution structures of CDK-activating kinase using cryo-EM, revealing inhibitor interactions and providing a framework for structure-based drug design.

MDTOMO analyzes continuous conformational variability in cryo-ET subtomograms using MD simulations to generate atomic-scale models and free-energy landscapes.

The paper introduces a cryo-FIB workflow to image brain tissue via in situ cryo-EM, enabling visualization of subcellular structures in fresh, unfixed mouse and postmortem human brain tissue.

The paper was withdrawn due to false information included in the manuscript.

RE2DC improves 2D classification in cryo-EM by balancing computational efficiency and robustness, achieving faster processing and better resolution of rare particle populations.

The paper introduces DAQ-refine, a protocol that improves protein models from cryo-EM maps using a deep learning score and modified AlphaFold2 refinement, showing consistent improvements over existing methods.

MaD improves integrative modeling of large flexible macromolecular complexes by using conformation-invariant descriptors from cryo-EM data and molecular simulations.

This paper introduces a method using metallic platinum sputtering to improve subtomogram averages, enabling sub-5 Angstrom resolution of yeast ribosomes with fewer particles.

The paper uses cryo-electron tomography to study conformational changes in axonemal outer dynein arms during the power stroke cycle, revealing structural differences between states.

The paper introduces an energy filter-based plasmon imaging method to efficiently screen gold grids in cryo-EM for optimal ice thickness.

The paper develops an analytic method to generate inhomogeneous-resolution maps for refining atomic models in structural biology and other fields.

The paper introduces 3D-Strudel, a method for validating cryo-EM maps using resolution-dependent amino-acid motifs, and presents a visualization tool for results.

The paper introduces HEMNMA-3D for analyzing continuous conformational variability in cryo-ET data and compares it to traditional methods on a simulated nucleosome dataset.

The paper describes a method combining CRISPR/Cas and fluorescence cell sorting to efficiently tag and purify endogenous human proteins for structural analysis using cryo-EM.

VP-Detector uses a 3D convolutional neural network to automatically localize and classify macromolecules in cryo-electron tomograms, achieving competitive performance with efficient processing.

DISCA uses deep learning to automatically cluster cryo-ET data into homogeneous structural subsets without templates or labels.

This paper optimizes mask diameter and box size for 200 keV cryo-EM to improve resolution for proteins under 200 kDa.

The paper determines the sub-3 Å resolution cryo-EM structures of Achromobacter cycloclastes NiR at two pH values, identifies structural artifacts, and suggests local changes around the Cu site.

This study demonstrates that a multi-purpose TEM with a side-entry cryo-holder can achieve high-resolution cryo-EM single particle analysis, as shown by a 3 Å resolution map of apoferritin.

DeepTracer predicts protein backbone atoms, secondary structures, and amino acid types from cryo-EM density maps with high accuracy and speed.

The paper introduces a graph-based method to build atomic protein models from cryo-EM density maps using residue co-evolution data to improve segmentation and sequence assignment.

This paper introduces enhanced FIB-SEM technology that significantly increases imaging volume and resolution, enabling large-scale connectomics and cell biology studies.

This paper introduces a human-in-the-loop framework for improving EM image quality through interactive image restoration and analysis.

This paper introduces a high-throughput TEM imaging platform with automated serial sectioning for generating detailed biological tissue datasets, particularly for brain circuit analysis.

The paper discusses the removal of a manuscript due to a ruling by ETH Zurich.

The paper proposes a compressed MRC file format and normalization strategies for direct electron detectors to improve data storage and reduce noise in transmission electron microscopy.