Getting Started in Cryo-EM
Comprehensive introduction to cryo-electron microscopy, covering theory, equipment, sample preparation, data collection, and analysis techniques for various biological imaging applications.
Cryo-Electron Microscopy and Single Particle Analysis - Webinar 3
Explore cryo-electron microscopy for high-resolution imaging of biosamples, including principles, challenges, and advanced reconstruction techniques like CryoGAN for structural analysis.
Spectral Decomposition of Atomic Structures in Heterogeneous Cryo-EM
Innovative approach to recover 3D atomic structures of flexible macromolecules from cryo-EM data, combining biological knowledge with spectral analysis to estimate conformational variations.
Inference Poses for Reconstruction of 3D Molecular Volumes from Cryo-EM Images
Explore innovative techniques for reconstructing 3D molecular structures from cryo-EM data, focusing on the cryoAI algorithm that combines machine learning and physics-based approaches for efficient processing of large datasets.
Molecular Structure Extrapolation to Zero Dose with CryoEM - IPAM at UCLA
Explore zero-dose extrapolation in cryoEM, enhancing structural detail and insights into radiation damage for improved molecular visualization and atomic model refinement.
Approaches for Exploring the Geometry of Molecular Conformations in Cryo-EM
Explore advanced techniques for analyzing molecular conformations in cryo-electron microscopy, focusing on emerging approaches for complex conformational heterogeneity and associated challenges.
Machine Learning for Determining Protein Structure and Dynamics from Cryo-EM Images
Explore machine learning techniques for analyzing cryo-EM images to determine protein structure and dynamics, focusing on the cryoDRGN algorithm and its applications in structural biology.
Unbiasing Procedures for Scale-Invariant Multi-Reference Alignment - IPAM at UCLA
Explore unbiasing techniques for scale-invariant multi-reference alignment in signal processing, focusing on applications in cryo-electron microscopy and distribution learning from biased, sparse batches.
Detection of Objects in Cryo-Electron Micrographs Using Geometric Deep Learning
Explore geometric deep learning techniques for object detection and segmentation in cryo-electron micrographs, focusing on unsupervised methods and graph-based transformers for complex structures.
High Throughput, High Performance Algorithms for High Resolution Subtomogram Averaging
Explore high-performance algorithms for subtomogram averaging in cryo-electron microscopy, focusing on tools like TomoBEAR and SUSAN to enhance throughput and resolution in structural biology.
Algorithms for Non-Local Filtering - Application Cryo-Electron and Biological Microscopy
Efficient algorithms for non-local filtering in microscopy, focusing on fast implementations of Non-Local Means Denoising and feature detection in biological images for improved image processing and analysis.