利用多帧数据融合提高4D- STEM的空间保真度和SNR
Increasing Spatial Fidelity and SNR of 4D-STEM using Multi-frame Data Fusion
摘要：
4D-STEM（其中使用像素化检测器针对扫描透射电子显微镜（STEM）中的每个2D扫描位置捕获2D衍射平面）正在补充并越来越多地取代现有的成像方法。然而，目前这些探测器的速度，尽管近年来有了很大的提高，但仍然比目前PMT技术的操作员所习惯的速度慢100到1,000倍。遗憾的是，这意味着环境扫描失真通常会限制所记录的4D数据的整体性能。在这里，我们提出了一个扩展现有的干畸变校正技术的治疗4D数据系列。虽然一般适用于4D数据，我们使用电子重叠关联和电场映射作为模型的情况下，并表现出改善空间保真度，信噪比（SNR），相位精度和空间分辨率。
英文摘要：
4D-STEM, in which the 2D diffraction plane is captured for each 2D scan position in the scanning transmission electron microscope (STEM) using a pixelated detector, is complementing and increasingly replacing existing imaging approaches. However, at present the speed of those detectors, although having drastically improved in the recent years, is still 100 to 1,000 times slower than the current PMT technology operators are used to. Regrettably, this means environmental scanning-distortion often limits the overall performance of the recorded 4D data. Here we present an extension of existing STEM distortion correction techniques for the treatment of 4D-data series. Although applicable to 4D-data in general, we use electron ptychography and electric-field mapping as model cases and demonstrate an improvement in spatial-fidelity, signal-to-noise ratio (SNR), phase-precision and spatial-resolution.
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