EDX-AI 1.1.0

A package for STEM-EDX data processing and analysis

STEM-EDX ML

Full documentation available here : https://edx-ai-84a865.gitlab.io/

Description

STEM-EDX ML is a graphical application designed for managing and analyzing STEM-EDX (Scanning Transmission Electron Microscopy - Energy Dispersive X-ray Spectroscopy) data using machine learning algorithms.

The graphical user interface, built with PySide6, allows users to:

• Load STEM-EDX data files (.pts)
• Visualize images and spectra
• Apply decomposition algorithms such as PCA (Principal Component Analysis) and NMF (Non-negative Matrix Factorization)
• Interact with results through dynamic graphs

Features

• Load and manage STEM-EDX data files
• Select and display analyzed objects
• Apply and visualize PCA and NMF results
• Interactive and responsive user interface

Scientific Context

This project is based on STEM-EDX measurement results. The full study framework and experimental details can be found in the "Report" (in French) located in the Presentations folder.

Installation

Installation of Hyperspy and Exspy

Run the following commands:

conda install hyperspy -c conda-forge
conda install exspy

Prerequisites

• Python 3.x
• Hyperspy for spectral analysis
• Exspy (exspy) for TEM-EELS data type managment
• PySide6 for the graphical interface

Installation with pip

Run the following commands:

pip install EDX-AI

Usage

Run the application with the following command:

EDX-AI

Project structure

STEM-EDX-ML/
│── mainwindow.py # Main graphical interface

│── stem.py # STEM-EDX data management and ML algorithms

│── utils.py # Utility functions and widget management

|── colorscales.py # Colorscales available

|── main.py # The main program to execute

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Author

Anthony Pecquenard, 2025.