Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-23T02:55:38.063Z Has data issue: false hasContentIssue false

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.[email protected]
Get access

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 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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