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Non-rigid registration and non-local principle component analysis to improve electron microscopy spectrum images

机译:非刚性配准和非局部主成分分析可改善电子显微镜光谱图像

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摘要

Image registration and non-local Poisson principal component analysis (PCA) denoising improve the quality of characteristic x-ray (EDS) spectrum imaging of Ca-stabilized Nd2/3TiO3 acquired at atomic resolution in a scanning transmission electron microscope. Image registration based on the simultaneously acquired high angle annular dark field image significantly outperforms acquisition with a long pixel dwell time or drift correction using a reference image. Non-local Poisson PCA denoising reduces noise more strongly than conventional weighted PCA while preserving atomic structure more faithfully. The reliability of and optimal internal parameters for non-local Poisson PCA denoising of EDS spectrum images is assessed using tests on phantom data.
机译:图像配准和非局部泊松主成分分析(PCA)去噪可提高以原子分辨率在扫描透射电子显微镜中获得的钙稳定Nd2 / 3TiO3的特征X射线(EDS)光谱成像的质量。基于同时获取的高角度环形暗场图像的图像配准明显优于具有长像素停留时间的获取或使用参考图像进行的漂移校正。与传统的加权PCA相比,非本地Poisson PCA降噪功能更能有效降低噪声,同时更忠实地保留原子结构。使用幻象数据测试来评估EDS光谱图像的非局部Poisson PCA去噪的可靠性和最佳内部参数。

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