
Comprehensive introduction to cryo-electron microscopy, covering theory, equipment, sample preparation, data collection, and analysis techniques for various biological imaging applications.

Comprehensive exploration of materials characterization techniques, covering optical and electron microscopy, X-ray diffraction, and transmission electron microscopy, with hands-on demonstrations and practical applications.

Explore foundational tools, techniques, and materials driving the nanotechnology revolution, presented by Chad Mirkin from Northwestern University.

Explore histopathological features of COVID-19, including diffuse alveolar damage, viral tropism, and case presentations with expert pathologists Dr Osborn and Dr Hanley.

Explore advanced tomographic reconstruction techniques for neutron CT and cryoEM, focusing on challenges, model-based approaches, and applications in materials science and chemical mapping.

Explore cryo-electron microscopy for high-resolution imaging of biosamples, including principles, challenges, and advanced reconstruction techniques like CryoGAN for structural analysis.

Explore nanoscale structure investigations of oriented systems, focusing on advanced techniques and applications in condensed matter physics.

Explore atomic-level chemical reactions with Prof. Gai's groundbreaking microscope. Discover applications in medicine, energy, and more as she reveals the fascinating world of atoms in motion during crucial processes.

Explore large-scale datasets and modeling tools for brain research, covering transcriptomics, connectome mapping, visual coding, and human neuron studies to advance our understanding of brain function.

Innovative approach to recover 3D atomic structures of flexible macromolecules from cryo-EM data, combining biological knowledge with spectral analysis to estimate conformational variations.

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.

Explore zero-dose extrapolation in cryoEM, enhancing structural detail and insights into radiation damage for improved molecular visualization and atomic model refinement.

Explore advanced techniques for analyzing molecular conformations in cryo-electron microscopy, focusing on emerging approaches for complex conformational heterogeneity and associated challenges.

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.

Explore advanced microscopy techniques for analyzing magnesium nanoparticles, including tomography, electron diffraction, and hyperspectral optical spectroscopy, with insights on plasmon resonances and photothermal effects.

Explore machine learning applications in electron microscopy, focusing on data modeling and neural networks for distortion compensation in experimental datasets.

Explore advanced techniques for reconstructing atomic structures using transmission electron microscopy data, comparing phase imaging methods and discussing recent experimental results in 2D and 3D materials analysis.

Explore the intersection of machine learning and microscopy, focusing on AI models for active learning in materials discovery, automated experiments, and physics discovery through advanced microscopy techniques.

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.

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.

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.