European Microscopy Congress 2020 Abstract Database

• Damage-free sample preparation of metallic microwires using an adapted electropolishing method.

  Dr. Saeid Pourbabak, Dr. Andrey Orekhov, Prof. Dr. Dominique Schryvers

• Data fusion and geometric hyperspectral unmixing applied to STEM-EELS and EDX to solve a complex heterogeneous core-shell Co-P catalyst

  Dr. Thomas Thersleff, Serhiy Budnyk, Larissa Drangai, Prof. Adam Slabon

• Deciphering trans-translation by cryo-electron microscopy: motions and interactions of tmRNA and SmpB inside the ribosome

  Charlotte Guyomar, Gaetano D'Urso, Emmanuel Giudice, Sophie Chat, Daniel Thomas, Reynald Gillet

• Decoding mineral zoning from BSE images using Machine Learning

  Renat Almeev, Artem Leichter, Dennis Wittich, Philipp Beckmann, Torben Peters, Monika Sester, Francois Holtz, Franz Rottensteiner, Mona Weyrach

• Decoding the local stoichiometry from HR-STEM images with convolutional neural networks (CNNs) trained by PRISMatic datasets

  Tianshu Jiang, Dr. Shuai Wang, Patrick Schramowski, Wolfgang Stammer, Prof. Dr. Lambert Alff, Prof. Dr. Kristian Kersting, Prof. Dr. rer. nat. Leopoldo Molina-Luna

• Decomposition of STEM spectrum-images into a linear combination of meaningful endmembers

  Dr. Pavel Potapov, Dr. Axel Lubk

• Deconvolving multi-phase SPED datasets: Machine learning assisted pattern matching for phase determination in thin film based oxide electronic devices

  Alexander Zintler, Robert Eilhardt, Dr. Shuai Wang, Dr. Matus Krajnak, Patrick Schramowski, Wolfgang Stammer, Dr. Stefan Petzold, Kaiser Nico, Prof. Kristian Kersting, Prof. Lambert Alff, Prof. Leopoldo Molina-Luna

• Decoupling Reaction from Investigation – Quasi in situ TEM for Studying Electrochemical Processes

  Thomas Götsch, Eugen Stotz, Axel Knop-Gericke, Robert Schlögl, Thomas Lunkenbein

• Deep learning assisted transmission electron microscopy.

  Matthew Helmi Leth Larsen, William Bang Lomholdt, Mukesh Narendran, Frederik Dahl, Jacob Madsen, Pei Liu, Ole Winther, Stig Helveg, Jakob Birkedal Wagner, Thomas Willum Hansen, Jakob Schiøtz

• Deep learning in digital pathology and microscopy for research and clinical practice

  Dr Geert Litjens

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