Advanced Electron Microscopy Techniques and Applications

This paper introduces a method to reduce radiation damage and improve data completeness in 3D electron diffraction by using multi-position acquisition from multiple crystals.

CryoDDM improves cryo-EM reconstruction by denoising images to capture conformational heterogeneity, validated on proteasome, membrane protein, and spike protein datasets.

The paper introduces EMCFsys, an ecosystem for electron microscopy image analysis, improving image restoration and analysis efficiency with a benchmark dataset, foundation model, and restoration model.

This paper describes a user-managed 100 keV electron microscope setup for structural virology, enabling high-quality cryo-EM data collection and analysis within a laboratory setting.

This paper develops an AI-driven workflow for automated analysis of bacterial ultrastructure in cryoEM data, enabling rapid and accurate quantification of membrane thickness, flagella length, and bacterial arrangement.

EMProt improves protein structure determination from cryo-EM maps using a three-track attention network, outperforming existing methods in accuracy and completeness.

The paper introduces a redesigned workflow for live high-pressure freezing correlative light and electron microscopy (CLEM) that enables routine tracking and retrieval of rapidly moving endosomes with high confidence.

The paper develops a multimodal imaging pipeline to enable cryo-ET of symbiotic tissues, revealing nanoscale structural details of host-microbe interactions in Hawaiian bobtail squid.

This paper introduces nanogold probes for identifying proteins in live cells and cryo-ET tomograms, enhancing proteome accessibility for electron microscopy.

The paper introduces a foundation model and automated pipeline for cryo-EM image processing, improving efficiency and quality assessment in structural biology.

This paper introduces parallax-filtered cryo-STET imaging to enhance contrast in thick biological specimens, demonstrating improvements over traditional STEM methods.

The paper introduces a method for 4D-STEM tomography using shadow montage and cone-beam reconstruction to create 3D shadow volumes from single datasets.

The paper introduces a method to calculate variable-resolution maps using analytic shell-function approximations to atomic images, enabling comparison with experimental cryo-EM maps.

ETSAM is a fine-tuned AI method for segmenting cell membranes in cryo-ET tomograms, achieving state-of-the-art performance on an independent test set.

OPUS-ET improves cryo-ET resolution by resolving compositional and conformational heterogeneities using a deep learning framework, achieving sub-nanometer reconstructions and revealing structural dynamics in biomolecules.

This paper introduces a method to achieve microsecond time resolution in cryo-EM using jet vitrification, enabling observation of protein dynamics with near-atomic resolution.

The paper reports cryo-EM structures of two human SPFH protein complexes, revealing their stoichiometry and architectural features.

The paper introduces MISO, a method combining microfluidics and cryo-EM to determine protein structures from single cell colonies with high sensitivity.

This paper introduces a deep learning method to improve single particle cryoEM data quality by automatically filtering noisy images using denoising and domain adaptation neural networks.

CryoLike evaluates image-to-structure likelihoods for cryo-EM data using Fourier-Bessel representations to improve computational efficiency.

CryoSiam is a self-supervised framework for cryo-ET data analysis that learns hierarchical representations and transfers to experimental data for denoising, segmentation, and macromolecular detection.

CryoSift automates 2D class selection in cryo-EM by using a CNN to assess particle quality, enabling high-throughput processing for high-resolution reconstructions.

The paper studies the structural arrangement of the influenza C virus surface, finding hexagonal HEF lattice defects that align with theoretical predictions for curved lattices.

The paper uses electron cryo-tomography to determine the architecture of the Tad pilus in Caulobacter vibrioides and proposes an assembly model.

This study shows that 200 kV electron cryomicroscopes can perform electron cryotomography on mammalian cells, producing high-quality data for structural analysis.

TomoPicker is a macromolecule localization method for cryo-ET tomograms that achieves comparable performance to supervised methods with significantly fewer annotations.

The paper introduces MICA, a deep learning method that combines cryo-EM density maps and AlphaFold3 predictions to improve protein structure modeling accuracy and completeness.

The paper introduces a parameter-free method for analyzing colocalization in cryo-electron tomograms to study spatial organization of protein complexes.

Helicon enables helical indexing and 3D reconstruction from a single 2D image using linear regression and regularization techniques.

The paper introduces Mix-it-up, a method for rapid on-grid mixing and vitrification in cryo-EM to capture fast biochemical processes, demonstrating its effectiveness with high-resolution structural analysis.