EBSP Indexer is a graphical user interface that allows for processing and indexing of Electron backscatter patterns, generated by scanning electron microscopes. Its goal is to make the rich functionality of the open-source library kikuchipy more accessible to users, without requiring knowledge of python or the library itself.
The GUI supports:
- Customizable Dictionary and Hough indexing
- Refinement of orientations
- Signal improvements
- Static background removal
- Dynamic background removal
- Averaging by neighbour patterns
- Pattern center calibration from
- Existing calibration patterns
- Selection of patterns
- Working distance for added Microscopes
- Region of interest
- Signal navigation of patterns
- Pre- and post-indexing maps
- Accessible interactive interpreter for python
The project was originally developed by students at The Department of Material Science at Norwegian University of Science and Techonolgy (NTNU), and is open source and free to use.
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macOS might experience leaked semaphores when creating images in threads, e.g. Inverse Pole Figure Map in Hough Indexing.
As of now, it is recommended to run indexing without generating images on Mac.
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Updating the application's settings will set the current working directory to the specified default directory (if checked).
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When saving a merged crystal map in the case where only one phase is identified, save will fail since a crystal map with the same name exists already.
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Creating jobs while the Job Manager is unlocked from the main window will result in an error, due to the parent widget of the job list changes.
- Windows 10/11 or macOS 13 (Ventura)
- x86_64-based CPU (arm64 chipset is experimental)
In addition, the windows version requires Microsoft Visual C++ Redistributable packages for Visual Studio 2015, 2017, 2019, and 2022. This is included in our installer, and is automatically installed if needed.
Installer for Windows and App for macOS are available to download from the EBSP Indexer repository and Zenodo.
Thanks goes to these wonderful people (emoji key):
 Erlend M. Østvold 💻 🐛 📖 🤔 |
 olavlet 💻 🐛 📖 🤔 |
 htrellin 💻 🐛 📖 🤔 |
This project follows the all-contributors specification. Contributions of any kind welcome!