py4DSTEM: A Software Package for Four-Dimensional Scanning Transmission Electron Microscopy Data Analysis

Scanning transmission electron microscopy (STEM) allows for imaging, diffraction, and spectroscopy of materials on length scales ranging from microns to atoms. By using a high-speed, direct detector, it is now possible record full 2D image the diffracted beam at each probe position, typically grid positions. These 4D-STEM datasets are rich in information, including signatures local structure, orientation, deformation, electromagnetic fields other sample-dependent properties. However, extracting this information requires complex analysis pipelines, data wrangling calibration visualization, all while maintaining robustness against imaging distortions artifacts. In paper, we present py4DSTEM, an toolkit measuring material properties datasets, written Python language released with open source license. We describe algorithmic steps dataset various property measurements detail, results several experimental datasets. have also implemented simple universal file format appropriate which uses HDF5 standard. hope tool will benefit research community, helps move developing standards computational methods microscopy, invite community contribute ongoing, fully open-source project.