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Highly Automated Electron Energy-Loss Spectroscopy Elemental Quantification

Published online by Cambridge University Press:  10 April 2014

Raman D. Narayan*
Affiliation:
AppFive LLC, 1095 West Rio Salado Parkway, Suite 110, Tempe, AZ 85281, USA
J. K. Weiss
Affiliation:
AppFive LLC, 1095 West Rio Salado Parkway, Suite 110, Tempe, AZ 85281, USA
Peter Rez
Affiliation:
Department of Physics, Arizona State University, PO Box 871504, Tempe, AZ 85287, USA
*
*Corresponding author.raman@appfive.com
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Abstract

A model-based fitting algorithm for electron energy-loss spectroscopy spectra is introduced, along with an intuitive user-interface. As with Verbeeck & Van Aert, the measured spectrum, rather than the single scattering distribution, is fit over a wide range. An approximation is developed that allows for accurate modeling while maintaining linearity in the parameters that represent elemental composition. Also, a method is given for generating a model for the low-loss background that incorporates plural scattering. Operation of the user-interface is described to demonstrate the ease of use that allows even nonexpert users to quickly obtain elemental analysis results.

Type
EDGE Special Issue
Copyright
© Microscopy Society of America 2014 

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References

Ahn, C.C., Krivanek, O.L., Burger, R.P., Disko, M.M. & Swann, P.R. (1983). EELS Atlas: A Reference Collection of Electron Energy Loss Spectra Covering all Stable Elements. Tempe, AZ and Warrendale, PA: HREM Facility, Center for Solid State Science Gatan Inc.Google Scholar
Chou, T. & Libera, M. (2003). Mean free paths for inelastic electron scattering in silicon and poly(styrene) nanospheres. Ultramicroscopy 94(1), 3135.Google Scholar
Egerton, R. (1979). K-shell ionization cross-sections for use in microanalysis. Ultramicroscopy 4(2), 169179.Google Scholar
Egerton, R.F. (1996). Electron Energy-Loss Spectroscopy in the Electron Microscope, 2nd ed. New York: Plenum Press.Google Scholar
Egerton, R.F. & Whelan, M.J. (1974). The electron energy loss spectrum and band structure of diamond. Philos Mag 30(4), 739749.Google Scholar
Kohl, H. (1985). A simple procedure for evaluating effective scattering cross-sections in STEM. Ultramicroscopy 16, 265268.Google Scholar
Lawton, W.H. & Sylvestre, E.A. (1971). Elimination of linear parameters in nonlinear regression. Technometrics 13(3), 461467.Google Scholar
Leapman, R. & Swyt, C. (1988). Separation of overlapping core edges in electron energy loss spectra by multiple-least-squares fitting. Ultramicroscopy 26(4), 393403.Google Scholar
Leapman, R.D., Rez, P. & Mayers, D.F. (1980). K, L, and M shell generalized oscillator strengths and ionization cross sections for fast electron collisions. J Chem Phys 72(2), 12321243.Google Scholar
Lyons, L. (1991). A Practical Guide to Data Analysis for Physical Science Students. Cambridge: Cambridge University Press.Google Scholar
Manoubi, T., Tence, M., Walls, M.G. & Colliex, C. (1990). Curve fitting methods for quantitative-analysis in electron-energy loss spectroscopy. Microsc Microanal Microstruct 1(1), 2339.Google Scholar
Press, W.H., Teukolsky, S.A., Vetterling, W.T. & Flannery, B.P. (2007). Numerical Recipes: The Art of Scientific Computing, 3rd ed. Cambridge: Cambridge University Press.Google Scholar
Raether, H. (1980). Excitation of Plasmons and Interband Transitions by Electrons vol. 88, Springer Tracts in Modern Physics. Berlin, Heidelberg, and New York: Springer-Verlag.Google Scholar
Ritchie, R.H. & Howie, A. (1977). Electron excitation and the optical potential in electron microscopy. Philos Mag 36, 463481.Google Scholar
The Hyperspy development team. (2013). Hyperspy: hyperspectral data analysis. www.hyperspy.org.Google Scholar
Verbeeck, J. & Van Aert, S. (2004). Model based quantification of EELS spectra. Ultramicroscopy 101(2–4), 207224.Google Scholar
Verbeeck, J., Van Aert, S. & Bertoni, G. (2006). Model-based quantification of EELS spectra: Including the fine structure. Ultramicroscopy 106(11–12), 976980.Google Scholar