Advanced Electron Microscopy Techniques and Applications

The paper develops a rapid in situ cryo-ET workflow for bacterial ribosome structure analysis, achieving sub-nm resolution in E. coli within 10 days.

This paper identifies an unknown contaminant in protein samples using Cryo-EM and AI tools, leading to improved purification protocols.

This paper introduces a cryo-electron tomography pipeline for imaging plasma membranes with angstrom-scale resolution and targeted protein labeling.

This study uses cryo-EM to visualize the protein-inorganic interface of human light chain ferritin bound to iron oxide nanoparticles, revealing new interactions at the C-terminus.

This paper reports cryoEM structures of the flagellar MS-ring and identifies how FliF subunits adopt different conformations to generate three rotational symmetries.

This paper demonstrates that a standard 120-keV TEM with a direct electron detector can achieve high-resolution cryo-EM reconstructions of various proteins.

The paper determines the cryo-EM structure of Thorase filaments, showing how ATP binding drives filament formation and provides insights into its role in disassembling mTORC1 complexes.

This study investigates whether pulsed-electron imaging in ultrafast cryo-EM mitigates radiation damage, finding no significant mitigation effect despite varying experimental conditions.

This paper introduces a PDMS-based microfluidic chip for time-resolved cryo-EM sample preparation, enabling structural and kinetic studies of biomolecular reactions in the 10-1000 ms time range.

The paper introduces a labeled dataset for AI-based cryo-EM map denoising, including experimental maps and three types of generated label maps for benchmarking.

This paper provides a protocol for high-resolution cryo-EM structure determination of α-synuclein fibrils, resulting in a 2.04 Å structure with new density features.

This paper introduces a new statistical metric, 2DTM p-value, to improve target detection in cryo-EM by combining SNR and z-score, showing better performance for complex targets.

This study analyzes the factors affecting resolution in cryoET-STA for MmCpn, evaluating the cost-benefit of achieving high-resolution structures.

This study uses cryo-EM and BaR to analyze protein complexes in an Alzheimer's rat brain model, revealing structural insights relevant to multiple diseases.

This paper demonstrates that sodium phosphotungstate and ammonium molybdate can replace uranyl-based stains in negative staining electron microscopy for single particle analysis, offering non-radioactive, cost-effective alternatives.

This study uses cryoID to reconstruct the native PLP synthase complex from Methanosarcina acetivorans lysate, revealing a homo-dodecamer structure and absence of a previously proposed supracomplex.

This paper introduces spIsoNet, a deep-learning tool that improves 3D reconstruction isotropy and particle alignment in cryoEM by addressing the preferred orientation problem without altering specimen preparation.

The paper shows that laser phase-plate images of apoF and rubisco reveal unexpected structural heterogeneity, suggesting that specimen damage may be more prevalent than previously thought.

TOMOMAN streamlines cryo-ET data processing by integrating tools for interoperability, metadata management, and collaborative data sharing.

REPIC uses ensemble learning to identify high-quality cryo-EM particles by consensus, reducing manual effort and improving consistency across different pickers.

Vesicle Picker automatically identifies vesicles and selects particle locations in cryo-EM micrographs, improving efficiency for membrane protein complex analysis.

CryoSTAR uses atomic models as constraints to improve cryo-EM reconstruction of conformational heterogeneity, showing better results across multiple datasets.

The paper introduces a multi-species cryoEM calibration sample to validate instrument performance and image processing workflows.

This paper introduces REEL-EM, a method combining EELS and single-particle image processing to enable elemental mapping in cryo-preserved macromolecular complexes, demonstrating reliable localization of abundant elements.

This study localizes albumin in kidney tissue using correlative super-resolution light and electron microscopy to map its distribution and quantify concentration gradients across the filtration barrier.

The paper develops a method to measure and control ice thickness in the VitroJet for cryo-EM, improving efficiency in single particle structure determination.

The paper introduces Roodmus, a toolkit for benchmarking heterogeneous cryo-EM reconstructions using synthetic data with known ground truth.

This paper introduces SIREn, a tool for automated analysis of cryo-EM volume ensembles to identify structural states and quantify their occupancies.

The paper introduces CryoVesNet, a framework for automated synaptic vesicle segmentation in cryo-ET data, improving accuracy and efficiency compared to manual methods.

Mesoscale Explorer provides a web-based tool for interactive 3D visualization of large molecular models using GPU rendering and web technologies.