MSE672: Introduction to Transmission Electron Microscopy_MSE672_Intro_TEM.ipynb

by Gerd Duscher, Spring 2025

Microscopy Core Facility
Institute of Advanced Materials & Manufacturing
Materials Science & Engineering
The University of Tennessee, Knoxville

Foreword (ReadME)¶

This course provides information on analysis of TEM data and the background of the nature of this information in the data.

Please note, that there is no programming required, but the user should not be shy in changing the values of parameters.

Therefore, two ways of usage are targeted,

• Beginner

  • Please start at the beginning and advance in the order of the notebooks given here.

• Advanced, Inpatient or both:

  • Go to the pyTEMlib notebooks (and give feedback if links are missing, please).

You can download all files from GitHub as a zip file.

All pages can be directly started in Google Colab

Content

• Foreword (ReadME)
• Chapter 1: Introduction
  • Introduction to Python as it is used in this lecture
  • Prerequisites
  • Matplotlib and Numpy for Micrographs
  • Open DM3 Images, Spectra, Spectrum-Images and Image-Stacks with pyNSID
  • Course Organization
  • Overview Notebook
  • Electron Optics
• Chapter 2: Diffraction
  • The Electron
  • Atomic Form Factor
  • Basic Crystallography
  • Structure Factors
  • Analyzing Ring Diffraction Pattern
  • Kinematic Scattering Geometry
  • Plotting Diffraction Pattern
  • Analyzing Spot Diffraction Pattern
  • Unic Cell Determination and Stereographic Projection
  • Kikuchi Lines
  • HOLZ Lines
  • Lattice Determination with HOLZ
  • Bethe Theory
  • Multislice Algorithm
  • CBED - Multislice Algorithm
• Chapter 3: Imaging
  • Resolution Limit
  • Contrast Transfer Function
  • Linear Image Approximation: Weak Phase Object
  • Defocus-Thickness Map with Multislice Algorithm
  • Image Processing
  • Image Analysis
  • Thermal-Diffuse Scattering
  • Z-Contrast Imaging
  • Ronchigram
• Chapter 4: Spectroscopy
  • Introduction to Electron Energy-Loss Spectroscopy
  • Fit of Zero-Loss Peak
  • Analysing Low-Loss Spectra with Drude Theory
  • Introduction to Core-Loss Spectroscopy
  • Chemical Composition in Core-Loss Spectra
  • Analysis of Core-Loss Spectra
  • Energy-Loss Near-Edge Structure
  • Chapter 4 Spectroscopy
  • Chapter 4 Spectroscopy
  • Load relevant python packages
  • Chapter 4 Spectroscopy
  • Chapter 4 Spectroscopy
  • Chapter 4 Spectroscopy
• Homework
  • Homework 1
  • Homework 2
  • Homework 3
  • Homework 4