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Energy-drift correction of electron energy-loss spectra from prolonged data accumulation of low SNR signals.

作者信息

Sasano Yusuke, Muto Shunsuke

机构信息

Department of Materials, Physics and Energy Engineering, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan.

出版信息

J Electron Microsc (Tokyo). 2008 Oct;57(5):149-58. doi: 10.1093/jmicro/dfn014. Epub 2008 Jul 25.

DOI:10.1093/jmicro/dfn014
PMID:18658233
Abstract

The demand for analysis of trace elements in atomically localized areas by electron energy-loss spectroscopy (EELS) in transmission electron microscopy is increasing. Unfortunately, the prolonged data acquisitions required to achieve an acceptable signal-to-noise ratio (SNR) tend to deteriorate the energy resolution because of spectral drifts due to instrumental instability. We developed a macroscript for a Gatan Digital Micrograph(TM) to control an ENFINA 1000 EEL spectrometer that corrects for energy drifts during data accumulation. The script successfully achieved a core-loss spectrum for a sample having approximately 1 at% elemental concentration, and provided a sufficient SNR for chemical state analysis.

摘要

相似文献

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