Microscopy and Microanalysis · 2019 · 32 citations · 2 references
Natural SciencesMaterials EngineeringMaterials ScienceScientific VisualizationSpectroscopySurface ScienceCrystallographyElectron DiffractionElectron MicroscopyMaterials InformaticsTransmission Electron MicroscopyX-ray CrystallographyDiffraction Data ProcessingDiffraction Pattern AnalysisElectrostatic Potential MappingLattice ParametersOpen-source Software DevelopmentScanning Electron MicroscopyScanning Transmission Electron MicroscopyShort-range Order
py4DSTEM is a free, open source, python-based data analysis package for the emerging field of fourdimensional scanning transmission electron microscopy (4D-STEM). In 4D-STEM, the electron beam is rastered across a sample and a diffraction pattern is collected at each scan position, yielding highly information-rich datasets which can be used to virtually recreate images that map sample orientation, local lattice parameters, strain, and short/medium range ordering, or to reconstruct the electrostatic potential itself [1]. These datasets can easily reach tens or even hundreds of GB in size, and almost always require significant computational processing to extract useful results. The aim of py4DSTEM is to make 4D-STEM data analysis easy and accessible for everyone [2].
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Recording and Using 4D-STEM Datasets in Materials Science
Colin Ophus, Peter Ercius, M.C. Sarahan et al. · Microscopy and Microanalysis · 2014 · 78 citations · Full text
Natural Sciences, Materials Engineering, Materials Science +9