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Fourier deconvolution of image-spectra:the removal of plural scattering from energy-filtered series

机译:图像光谱的傅里叶反卷积:从能量滤波序列中消除多重散射

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The increased spectral information obtained by acquiring an EFTEM image-series over several hundred eV allows plural scattering to be removed using standard deconvolution techniques developed for the quantification of EEL spectra.In this work,both Fourier-log and Fourier-ratio deconvolution techniques hav ebeen applied successfully to such image-series.Results show the removal of plural scattering gives an improvement in quantification,and an increase in the ionisation edge jump-ratio and SNR.Further,retrieval of the single-scattering distribution is shown to allow reliable compositional mapping using core-loss edges situated in the low-loss region.
机译:通过获取超过数百eV的EFTEM图像序列获得的增加的光谱信息允许使用为量化EEL光谱而开发的标准反褶积技术消除多个散射。在这项工作中,傅里叶对数和傅里叶比率反褶积技术都具有很高的应用价值。结果表明,消除多重散射可以改善定量,并提高电离边跃迁比和SNR。此外,对单散射分布的检索表明可以进行可靠的成分映射使用位于低损耗区域的芯损耗边缘。

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