With the development of high-speed electron detectors, four-dimensional scanning transmission electron microscopy (4D-STEM) has emerged as a powerful tool for characterizing microstructures in material science and life science. However, the complexity of 4D-STEM data processing necessitates an intuitive graphical user interface software for researchers. In this regard, we have developed 4D-Explorer, an open-source, lightweight and extensible software for processing 4D-STEM data. It offers a visual and interactive workflow, including data preparation, calibration, image reconstruction and generating quantitative results. Furthermore, during calibration, our software includes a novel algorithm for rotational offset correction that uses a defocused 4D-STEM dataset and its axial bright field image, which has lower experimental requirements than conventional methods. We anticipate that 4D-Explorer will help researchers harness the capabilities of 4D-STEM technology.
@article{arxiv.2306.08365,
title = {4D-Explorer: A visual software for 4D-STEM data processing and image reconstruction},
author = {Yiming Hu and Si Gao and Xiaopeng Wu and Xudong Pei and Futao Huang and Wei Mao and Weiyang Zhang and Aidan Horne and Zhengbin Gu and Peng Wang},
journal= {arXiv preprint arXiv:2306.08365},
year = {2023}
}