Recent developments in pixelated detectors, when combined with aberration correction of probe forming optics have greatly enhanced the field of scanning electron diffraction. Differential phase contrast is now routine and deep learning has been proposed as a method to extract maximum information from diffraction patterns. This work examines the effects of temporal and spatial incoherence on convergent beam electron diffraction patterns and demonstrates that simple center of mass measurements cannot be naively interpreted. The inclusion of incoherence in deep learning data sets is also discussed.

中文翻译：

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时间和空间不相干性在 4D-STEM 定量解释中的重要性

像素化探测器的最新发展与探针形成光学器件的像差校正相结合，大大增强了扫描电子衍射领域。微分相差现在已经成为常规，并且已经提出深度学习作为从衍射图案中提取最大信息的方法。这项工作检查了时间和空间不相干对会聚束电子衍射图案的影响，并证明不能天真地解释简单的质心测量。还讨论了在深度学习数据集中包含不连贯性。