Identification of individual grains in microscopic images
CristalX is a Python package that helps in the analysis of polycrystalline microstructures. Its name originates from the French word 'cristal', corresponding to the English word 'crystal'.
- Image segmentation to identify the grains in a microstructure
- Analysis tools for the segmented image
- Explicit geometrical representation of the grains
- Interacting with meshes created on the microstructure
- Mapping fields between a mesh and the grid of DIC measurements
- Simulation tools for the inverse problem arising from a combined numerical-experimental method (in progress ...)
- Visualization and data exchange
- Read the documentation.
- Check the existing issues. They may already provide an answer to you question.
- Open a new issue.
Read the docs/source/contributing.md file.
We have an article freely available on SoftwareX, showing the background and the design of CristalX.
When using CristalX in scientific publications, please cite the following paper:
- Csati, Z.; Witz, J.-F.; Magnier, V.; Bartali, A. E.; Limodin, N. & Najjar, D. CristalX: Facilitating simulations for experimentally obtained grain-based microstructures. SoftwareX, 2021, 14, 100669
BibTeX entry:
@Article{Csati2021,
author = {Zoltan Csati and Jean-Fran{\c{c}}ois Witz and Vincent Magnier and Ahmed El Bartali and Nathalie Limodin and Denis Najjar},
journal = {{SoftwareX}},
title = {{CristalX}: {F}acilitating simulations for experimentally obtained grain-based microstructures},
year = {2021},
month = jun,
pages = {100669},
volume = {14},
doi = {10.1016/j.softx.2021.100669},
}