Nano‐resolution synchrotron X‐ray spectro‐tomography has been demonstrated as a powerful tool for probing the three‐dimensional (3D) structural and chemical heterogeneity of a sample. By reconstructing a number of tomographic data sets recorded at different X‐ray energy levels, the energy‐dependent intensity variation in every given voxel fingerprints the corresponding local chemistry. The resolution and accuracy of this method, however, could be jeopardized by non‐ideal experimental conditions, e.g. instability in the hardware system and/or in the sample itself. Herein is presented one such case, in which unanticipated sample deformation severely degrades the data quality. To address this issue, an automatic 3D image registration method is implemented to evaluate and correct this effect. The method allows the redox heterogeneity in partially delithiated Li_xTa_0.3Mn_0.4O₂ battery cathode particles to be revealed with significantly improved fidelity.

中文翻译：

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自动3D图像配准，用于使用同步加速器光谱层析术进行纳米级化学制图

纳米分辨率同步加速器X射线断层摄影术已被证明是探测样品的三维（3D）结构和化学异质性的强大工具。通过重建在不同X射线能量水平下记录的许多断层扫描数据集，每个给定体素指纹中依赖于能量的强度变化都会对应于相应的局部化学。但是，此方法的分辨率和准确性可能会因非理想的实验条件而受到损害，例如硬件系统和/或样本本身的不稳定性。本文提出了一种这样的情况，其中，意料之外的样本变形严重降低了数据质量。为了解决这个问题，实现了自动3D图像配准方法来评估和纠正这种影响。该方法允许显着改善的保真度显示部分去锂化的Li _x Ta _0.3 Mn _0.4 O ₂电池阴极颗粒中的氧化还原异质性。