Tutorials

Welcome to the QEM tutorials! These step-by-step guides will help you learn how to use QEM for various electron microscopy analysis tasks.

• Basic Analysis Tutorial
  • Learning Objectives
  • Core QEM Components
  • Prerequisites
  • Step 1: Import Libraries and Load Data
  • Step 2: Visualize the Raw Data
  • Step 3: Initialize ImageFitting
  • Step 4: Find Atomic Column Positions
  • Step 5: Initialize Model Parameters
  • Step 6: Perform the Fit
  • Step 7: Analyze Results
  • Step 8: Visualize Results
  • Step 9: Quality Assessment
  • Step 10: Save Results
  • Advanced Tips
  • Next Steps
  • Common Issues

Getting Started

If you’re new to QEM, start with the Basic Analysis Tutorial tutorial to learn the fundamentals.

Tutorial Overview

Basic Tutorials:

1. Basic Analysis Tutorial - Load data, find peaks, and perform basic fitting

2. advanced_fitting - Advanced fitting techniques and optimization

3. multi_element - Analyzing multi-element samples

Advanced Topics:

4. strain_analysis - Strain and displacement mapping

5. batch_processing - Processing multiple images efficiently

Examples:

6. examples - Real-world case studies and example datasets

Prerequisites

Before starting the tutorials, make sure you have:

• QEM installed (see Installation)

• Basic knowledge of Python and NumPy

• Understanding of electron microscopy concepts

• Jupyter notebook environment (recommended)

Sample Data

Many tutorials use sample datasets that can be downloaded from:

• QEM Example Data Repository

• Individual datasets linked in each tutorial

Jupyter Notebooks

All tutorials are available as Jupyter notebooks in the examples/ directory of the QEM repository. You can run them interactively:

git clone https://github.com/zezhong-zhang/qem.git
cd qem/examples
jupyter lab

Feedback and Questions

If you have questions about the tutorials or suggestions for improvement:

• Open an issue on GitHub

• Contact the developers: zhangzz@aisi.ac.cn

• Check the discussion forum