An open source python package for guiding Electron Channelling Contrast Imaging (ECCI)in Scanning Electron Microscopes (SEM).
Project description
OpenECCI [open-e-ki] is a Python library for Electron Channelling Contrast Imaging (ECCI) analysis of crystal defects in Scanning Electron Microscope (SEM) by guiding precise stereo-tilt of the specimen to the preferable orientations.
| Deployment | |
|---|---|
| Activity | Work in progress |
| Citation | |
| License |
Documentation
Refer to the included Jupyter notebook tutorials for detailed instruction and applications. Demo datasets can be downloaded from openECCI-data repository. The openECCI documentation page is currently under development. Stay tuned for more information. More code examples, and a detailed workflow tutorial paper will be updated soon.
Installation
Create a new conda environment
conda update conda
conda create -n openecci python=3.10
conda activate openecci
Install openECCI with pip:
pip install openECCI
or you can install from source:
git clone https://github.com/IMBalENce/openECCI
cd openECCI
pip install .
If you want to create an editable install:
pip install -e .
Citing openECCI
If you are using openECCI in your scientific research, please help our scientific visibility by citing the Zenodo DOI: https://doi.org/10.5281/zenodo.11183730.
Contributors
| Zhou Xu | Monash Centre for Electron Microscopy (MCEM) |
| HÃ¥kon Wiik Ã…nes | Norwegian University of Science and Technology Xnovo Technology Aps |
| Sergey Gorelick | Monash Centre for Electron Microscopy (MCEM) Ramaciotti Centre for Cryo-Electron Microscopy |
| Xiya Fang | Monash Centre for Electron Microscopy (MCEM) |
| Peter Miller | Monash Centre for Electron Microscopy (MCEM) |
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file openECCI-0.1.0.tar.gz.
File metadata
- Download URL: openECCI-0.1.0.tar.gz
- Upload date:
- Size: 40.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
afc61ce3836abf21d21e16b934c8eefbbe422bdaee47127193b90026160b8771
|
|
| MD5 |
14070f3763262a68aecb479fce3c32f7
|
|
| BLAKE2b-256 |
e92c40b16ba2859de5328131a59fbf6094ff9d220a7b02eaba91e4262964a6b6
|
File details
Details for the file openECCI-0.1.0-py3-none-any.whl.
File metadata
- Download URL: openECCI-0.1.0-py3-none-any.whl
- Upload date:
- Size: 45.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b250b3aaada6272fa35650ce9f7266643485137510bd735432d5b562f9ee6ca3
|
|
| MD5 |
b6ca06016cee03c53a0c876988e14b45
|
|
| BLAKE2b-256 |
2cc2a8f9dcef98f282cb730eef347f1e88df898f05363f74f09ff9d99069d304
|