MoDLEx: Modern Diffusion Length Extractor

MoDLEx is a cross-platform graphical tool designed for researchers to analyze Electron Beam Induced Current (EBIC) data. It provides a workflow to extract the carrier diffusion length (L) from semiconductor materials using curve-fitting algorithms.

📺 Video Tutorial

Watch the Quick Start Guide on YouTube

✨ Key Features

• Dual-Image Analysis: Load and compare EBIC and Secondary Electron (SE) images side-by-side to correlate electrical signals with topography.
• Real-Time Line Profiles: Dynamic extraction of line profiles with adjustable averaging widths.
• Physics Modeling: Support for power-law exponents (n=-0.5 or n=-1.5).
• Automated Fitting: One-click fitting with user-defined constraints and guesses.
• Comprehensive Export: Save high-resolution graphs, CSV raw data, or a full "Analysis Abstract" report in PNG or PDF format.

🚀 Installation

MoDLEx is distributed as a standalone binary for easy use without needing a Python environment.

Download Software

Go to the Releases page to download the latest version for your OS:

• Windows: .exe
• macOS: .dmg
• Linux: .AppImage

Running from Source

If you prefer to run the script directly:

1. Clone the repository:
   git clone https://github.com/ocakiroglu/MoDLEx.git

2. Install dependencies:
   pip install PySide6 numpy pillow matplotlib scipy

3. Run the application:
   python MoDLEx-v2_1.py

🛠 Workflow

1. Load Images: Import your EBIC and SE maps (TIFF, PNG, or JPG).
2. Setup View: Adjust the Scan Line center and the Contact/Boundary edges using the interactive sliders.
3. Configure Fit: Set your physical parameters (Long edge size, offsets, and power law exponent).
4. Perform Fit: Click "PERFORM FIT" to visualize the results.
5. Export: Export your findings as a standardized PDF abstract or CSV data.

🔬 Scientific Background

MoDLEx fits your data to the fundamental EBIC decay model:

$I(x) = I_0 \cdot e^{-x/L} \cdot x^n + y_0$

where $L$ is the carrier diffusion length.

📜 License

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

🙏 Acknowledgments

This code in GUI design stage was developed with coding assistance from Google's Gemini, Github Copilot and Claude model via Perplexity.