3D Atomic Resolution Through Dose-Efficient Fusion of Image & Analytical Technique

Explore cutting-edge techniques for 3D atomic resolution reconstructions in this 33-minute conference talk by Sandra van Aert from the University of Antwerp. Discover how parameter estimation-based methods and deep learning are revolutionizing the extraction of reliable structural and chemical information from experimental STEM images. Delve into recent advancements that extend this methodology to analyze time series of images using hidden Markov models, offering insights into dynamic structural changes during in situ experiments. Learn about the progress in quantitative analysis of heterogeneous materials through the combination of ADF STEM and EDX in a unified framework. Gain valuable knowledge on the latest developments in nanomaterial characterization, illustrated with state-of-the-art experimental examples, and understand the critical importance of determining 3D atomic structures in comprehending the unique properties of nanomaterials.