Improved Background Removal Method Using Principal Components Analysis for Spatially Resolved Electron Energy Loss Spectroscopy-Reference-Cited by-同舟云学术

Improved Background Removal Method Using Principal Components Analysis for Spatially Resolved Electron Energy Loss Spectroscopy

Published:2005-01-28 Issue:1 Volume:11 Page:88-96
ISSN:1431-9276
Container-title:Microscopy and Microanalysis
language:en
Short-container-title:Microsc Microanal

Author:

Borglund Niclas,Åstrand Per-Gustav,Csillag Stefan

Abstract

Principal components analysis (PCA) factor filtering is implemented for the improvement of background removal in noisy spectra. When PCA is used as a method for filtering before background removal in electron energy loss spectroscopy elemental maps, an improvement in the accuracy of the background fit with very short fitting intervals is achieved, leading to improved quality of elemental maps from noisy spectra. This opens the possibility to use shorter exposure times for elemental mapping, leading to fewer problems with, for example, drift and beam damage.

Publisher

Cambridge University Press (CUP)

Subject

Instrumentation

Reference10 articles.

1. Wind, H. (1984).Principal component analysis and its applications to trackfinding. InFormulae and Methods in Experimental Data Evaluation,Vol. 3, pp.K1–K16.Geneva:European Physical Society.

2. Bevington, P.R. & Robinson, D.K. (1992).Data Reduction and Error Analysis for Physical Scienses,2nd ed. New York:McGraw-Hill Inc.

3. Bonnet, N. , Colliex, C. , Mory, C. , & Tencé, M. (1988).Developments in processing image sequences for elemental mapping.Scanning Micros Suppl. 2,351–364.

4. Jeanguillaume, C. & Colliex, C. (1989).Spectrum-image—The next step in EELS digital acquisition andprocessing.Ultramicroscopy 28,252.

5. Bonnet, N. , Brun, N. , & Colliex, C. (1999).Extracting information from sequences of spatially resolved EELSspectra using multivariate statistical analysis.Ultramicroscopy 77,97–112.

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