Approaches Taken to Streamline and Consolidate Large Dataset Processing Techniques, with a Focus on Ptychography

Microscopy and Microanalysis(2022)

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Journal Article Approaches Taken to Streamline and Consolidate Large Dataset Processing Techniques, with a Focus on Ptychography Get access Thomas C Pekin, Thomas C Pekin Humboldt Universität zu Berlin, Institut für Physik & IRIS, Adlershof, Berlin, Germany Corresponding author: tcpekin@physik.hu-berlin.de Search for other works by this author on: Oxford Academic Google Scholar Marcel Schloz, Marcel Schloz Humboldt Universität zu Berlin, Institut für Physik & IRIS, Adlershof, Berlin, Germany Search for other works by this author on: Oxford Academic Google Scholar Pablo Fernandez Robledo, Pablo Fernandez Robledo Humboldt Universität zu Berlin, Institut für Physik & IRIS, Adlershof, Berlin, Germany Search for other works by this author on: Oxford Academic Google Scholar Anton Gladyshev, Anton Gladyshev Humboldt Universität zu Berlin, Institut für Physik & IRIS, Adlershof, Berlin, Germany Search for other works by this author on: Oxford Academic Google Scholar Sherjeel Shabih, Sherjeel Shabih Humboldt Universität zu Berlin, Institut für Physik & IRIS, Adlershof, Berlin, Germany Search for other works by this author on: Oxford Academic Google Scholar Benedikt Haas, Benedikt Haas Humboldt Universität zu Berlin, Institut für Physik & IRIS, Adlershof, Berlin, Germany Search for other works by this author on: Oxford Academic Google Scholar Christoph T Koch Christoph T Koch Humboldt Universität zu Berlin, Institut für Physik & IRIS, Adlershof, Berlin, Germany Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 28, Issue S1, 1 August 2022, Pages 2994–2996, https://doi.org/10.1017/S1431927622011217 Published: 01 August 2022
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large dataset processing techniques,streamline
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