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Serial electron crystallography for structure determination and phase analysis of nanocrystalline materials

机译:串联电子晶体学用于纳米晶体材料的结构确定和相分析

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摘要

Serial electron crystallography has been developed as a fully automated method to collect diffraction data on polycrystalline materials using a transmission electron microscope. This enables useful data to be collected on materials that are sensitive to the electron beam and thus difficult to measure using the conventional methods that require long exposure of the same crystal. The data collection strategy combines goniometer translation with electron beam shift, which allows the entire sample stage to be probed. At each position of the goniometer, the locations of the crystals are identified using image recognition techniques. Diffraction data are then collected on each crystal using a quasi-parallel focused beam with a predefined size (usually 300–500 nm). It is shown that with a fast and sensitive Timepix hybrid pixel area detector it is possible to collect diffraction data of up to 3500 crystals per hour. These data can be indexed using a brute-force forward-projection algorithm. Results from several test samples show that 100–200 frames are enough for structure determination using direct methods or dual-space methods. The large number of crystals examined enables quantitative phase analysis and automatic screening of materials for known and unknown phases.
机译:串行电子晶体学已经发展成为一种使用透射电子显微镜在多晶材料上收集衍射数据的全自动方法。这使得能够在对电子束敏感的材料上收集有用的数据,因此难以使用需要长时间暴露同一晶体的常规方法进行测量。数据收集策略将测角计平移与电子束偏移结合在一起,从而可以探测整个样品台。在测角仪的每个位置,使用图像识别技术识别晶体的位置。然后,使用具有预定大小(通常为300-500 nm)的准平行聚焦光束在每个晶体上收集衍射数据。结果表明,使用快速灵敏的Timepix混合像素区域检测器,每小时可以收集多达3500个晶体的衍射数据。可以使用蛮力正投影算法对这些数据进行索引。几个测试样本的结果表明,使用直接方法或双重空间方法确定结构时,100-200帧就足够了。检查的大量晶体可以进行定量相分析,并可以自动筛选已知相和未知相的材料。

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