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Advanced EM Analysis


This a repository containing the material for Advanced Analysis in Transmission Electron Microscopy and related techniques course. The lectures and scripts were designed to cover advanced topics in TEM image and spectrum analysis to help you leverage your expertise and boost up the quality of your research.

The scripts used over the course are written in Python and I strongly recommend you to use the Anaconda python distribution.

First, download and install Anaconda. Instructions can be found at www.anaconda.com/download.


1. Create a conda environment:

To facilitate handling of the dependencies, further updates, etc.. I recommend creating a conda environment.

Detailed instructions on how to creat a conda environment can be found here

For more information about conda offical documentation can be found here.


Week 1

1. Intro to Image Processing (What should I do after collecting the data?);

  • Post-acquisition data preparation

Week 2

2. Analysis of High-Resolution STEM images

  • Extracting Quantitative information

Week 3 to Week 7

3. (S)TEM Image simulations

  • Linear Image Approximation

  • TEM simulations of thin films (WP approximation)

  • Building Structure for Multislice

Week 8

4. Analysis of EDX Spectrum

Week 9

5. Analysis of EELS Spectrum

Week 10 and 11

6. STEM Phase Imaging

  • Differential Phase Constrast.
  • Ptychography

Week 12

7. Machine learning applied to image analysis


Extra Content and Resources:

Why Python?

Python is well established in the scientific community. It is usable both for developers, but also for many microscopists.

Python has good interoperability with low-level languages like C, and can be use as a interfacial language for existing low-level routines.

There is a large number of packages for scientific computation (many of them targeted to image and spectrum analysis) leveraging existing native libraries.


📧 robertomsreis@gmail.com

Twitter @robertomsreis

©robertodosreis 2020

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