Compositional Analysis


There is considerable interest in emerging materials due to their extreme strength, flexibility, optical transparency and thermal conductivity. Prior to incorporation into new products, it is crucial to understand, employ and predict failures in new materials, surfaces and interfaces, nanostructures, clusters, and materials under various extreme conditions with atomic resolution. In particular, compositional analysis is a valuable tool because it enables researchers to understand the structure–property relationships for each component and their synergistic behaviors to better characterize significant changes in the material structure and elemental distribution. Useful compositional attributes to understand include:

  • Presence of an element
  • Quantity of an element
  • Location of each element present with sub-nm resolution
  • Relative concentration for each element present in a given 2D or 3D area
  • Electronic properties of a material


To adequately characterize and understand the compositional material of your product or specimen, you must first ensure each specimen is of the highest quality to resolve the material interface and properly controlled so you manipulate it, when necessary, under environmental stimuli. Once prepared, several techniques are available to better understand the composition of material(s).

Atomic resolution chemical and compositional analysis.
Family of imaging techniques to enhance, map and quantify elements and chemicals in an image with nanometer resolution.
Systematic method to generate a spatially resolved distribution of EELS data.
Award winning, high resolution imaging tools help you to understand material growth, devices ultrastructure and failures.
Unique insight into the chemical and electronic properties of materials at the microscopic level.
High-performance tools to cut, etch, polish and freeze samples for your unique SEM, TEM or STEM application.
Useful to elucidate elemental or chemical characterization of a sample.
Helps you examine crystallographic orientation or texture of materials.

Visit chemical analysis or metals and alloys learn about related applications.

Enabling results

What elements are within the sample?

In this example, Y and Zr edges were acquired and mapped using the EELS technique, while Ce3,4 atomic maps were obtained using MLLS fitting. The total acquisition time for this image was 244 s and the entire spectra was acquired in a single range mode of 400 – 2400 eV. Beam current was 125 pA with an energy resolution of 3 eV.

AuGeNi ohmic contacts are widely used as they show a low contact resistivity and are typically compatible with the fabrication of III-V MOSFET devices. However, they have the drawback of poor uniformity due to diffusion of the Au into the III-V substrate. This diffusion is dependent on temperature used during the annealing process after deposition of Au, Ge and Ni. Using EELS and EFTEM techniques, you can determine how the material present and degree of roughness at the interface with the III-V substrate influence device performance. Sample courtesy of University of Glasgow Microscope courtesy of Professor Ray Carpente at Arizona State University, Tempe, AZ. Acknowledgement to Dr. Toshiro Aoki at Jeol USA (now at ASU) for helping set up the microscope for the experiment.

Measure composition uniformity

You can distinguish variations in material composition between grains using cathodoluminescence. In this example, variations are shown as a change in color, with the excess of vacancy point defects at grain boundaries highlighted in blue. Image a) shows the secondary electron image of a Cu0.8In0.2AgSe2 film. Image b) shows the overlaid monochromatic cathodoluminescence images: 1.181 eV emission (blue), 1.121 eV (green), and 1.033 eV (red). Images courtesy of A.R. Aquino Gonzales, Ph.D. Dissertation, University of Illinois.