An Introduction to Scanning Electron Microscopy (SEM) and Associated Energy Dispersive X-ray Spectroscopy (EDS)
Presented by Randy Vander Wal and Nanoscience Instruments
Tuesday, November 2, 2021 ◉ 1:00 pm to 3:00 pm EST
TARGET AUDIENCE: This course is designed for individuals who use scanning electron microscopy and X-ray microanalysis in academic, governmental, or industrial laboratories: engineers, technicians, physical and biological scientists, clinicians, geologists, forensic scientists and technical managers.
COURSE DESCRIPTION: The course will provide an introduction to scanning electron microscopy, (SEM) and associated electron-based spectroscopic technique of energy dispersive X-ray spectroscopy (EDS). The course will consist of lectures outlining instrument hardware, physical principles and operation for microscopic imaging and spectroscopic analyses interleaved with live demonstration of each. Demonstrations will illustrate details on focusing, resolution and sample loading that are critical to successful operation.
The course will compare and contrast differences in samples, instrument principles and operation while detailing the microscopic and spectroscopic information available. A desktop SEM, (Phenom) will be demonstrated for both imaging applications and spectroscopic analyses by EDS following the lectures on each topic. Course materials will include lecture slides and notes.
As time permits, image optimization and detector selection for a variety of automated dimensional analysis applications. Including – but not limited to – fiber width and orientation measurements, particle, pore and grain sizing will be demonstrated.
About Randy Vander Wal
Dr. Vander Wal is presently Professor of Energy Engineering and Materials Science and Engineering at Penn State University where he teaches courses in analytical methods, energy technology, nanotechnology, fuel science and environmental statistics. His research interests include the synthesis, characterization and application of nanomaterials for energy conversion, harvesting, storage and control (sensors) applications. The course is a distillation of the SEM module from his graduate level course on Analytical Methods that he teaches at Penn State.