Advanced Electron Microscopy Techniques and Applications

The paper develops methods to image glutamatergic synapses in hippocampal tissue using cryo-electron tomography, enabling high-resolution visualization of synaptic structures.

This study uses phase plate cryo-EM to reveal conformational diversity in therapeutic IgG, achieving sub-nanometer resolution of the Fab fragment.

This study investigates factors affecting macromolecule orientations in cryo-EM thin films and identifies parameters to reduce orientation bias.

The paper reports cryoEM structures of human serum albumin with and without ligands, demonstrating the feasibility of sub-4 Å resolution mapping for proteins using standard workflows.

This paper introduces a deep-learning-based regularisation method for cryo-EM that improves reconstruction quality, enabling structure determination of smaller macromolecules with low signal-to-noise ratios.

The paper introduces FilamentID, a workflow to identify filament composition in cells, finding Ald4ALDH2 and Acs1ACSS2 form filaments in mitochondria and nucleus during meiosis, aiding cell recovery from stress.

EMDiffuse enhances volume electron microscopy by using diffusion models to improve resolution and enable isotropic reconstruction of large biological volumes.

This paper demonstrates that suspended drop crystallization eliminates the missing cone challenge in MicroED for thin plate crystals.

This study uses simulations to show that frozen water cages dissociated fragments, supporting the cage effect hypothesis in cryo-EM.

The paper evaluates template matching performance in cryo-ET by analyzing how template size, shape, and angular sampling affect ribosome detection in a ground truth dataset.

This paper introduces a Mean Shift loss function for more accurate protein localization in cryo-electron tomography using scoremap-guided clustering and random point sampling.

The paper introduces CryoSegNet, a method combining a specialized U-Net and SAM for cryo-EM particle picking, achieving higher accuracy than existing methods.

DiffGAN estimates missing phases in single molecule cryo-electron diffraction data to determine protein structures at atomic resolution using a conditional GAN.

This paper introduces an unsupervised learning approach using coordinate networks to address the missing wedge problem in cryoET, improving reconstruction quality and reducing runtime.

DomainFit identifies protein domains in low-resolution cryo-EM maps using AlphaFold2 models, revealing new proteins in cellular complexes.

This paper introduces a high-confidence 3D template matching method for CryoET, enabling accurate localization of cellular structures with improved statistical confidence.

This paper presents a workflow for 4D-STEM cryo-tomography using a segmented diode and ultra-fast detector, improving contrast through 3D deconvolution and principal component analysis.

This paper introduces synthetic datasets for cryo-electron tomography to train deep learning algorithms by simulating cellular structures and geometries.

The paper introduces Cryo2StructData, a large labeled cryo-EM density map dataset for training AI models to build atomic protein structures, showing it is larger and higher quality than existing datasets.

CTFFIND5 improves CTF estimation by incorporating sample thickness and tilt, enhancing cryoEM image quality assessment.

This study uses cryo-ET and STEM-EDS to reveal the ultrastructural morphology and elemental composition of Nitrosopumilus maritimus SCM1, identifying two types of storage granules.

This study benchmarks cryo-ET resolution based on lamella thickness and particle depth, showing no negative impact up to 180 nm and ion-induced damage extending 30 nm from surfaces.

STOPGAP is an open-source tool for subtomogram averaging in cryo-ET data to identify, localize, and classify molecular structures.

Ais provides a user-friendly, high-performance tool for cryo-electron tomography segmentation, accelerating particle picking and cellular architecture analysis.

The paper identifies a limitation in existing cryo-EM map anisotropy measurement methods and shows that post-processing can reduce anisotropy.

This study evaluates the effectiveness of high-pressure freezing using HPM Live μ for preserving diverse biological samples for electron microscopy, showing consistent vitrification and minimal artifacts.

This paper presents a method to image unfixed, never frozen human brain tissue using cryo-ET with xenon plasma FIB milling, revealing native ultrastructures like myelin and autophagy components.

This study determines the structural basis for encapsulating dye-decolorizing peroxidases in a protein nanocompartment using cryo-EM and mutagenesis.

This paper introduces tomoDRGN, a deep learning tool for analyzing cryo-ET sub-tomograms, revealing structural heterogeneity in macromolecules like ribosomes.