okapi-em
https://github.com/rosalindfranklininstitute/okapi-em
A napari plugin for processing serial-FIB-SEM data.
This napari plugin contains the following tools:
- Two charge artifact suppression filters
- directional fourier bandapass filter
- line-by-line filter function optimiser and subtraction (requires charge artifact labels)
- slice alignment using constrained SIFT
- FRC estimation
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install okapi-em via pip:
pip install okapi-em
For development mode it can be installed by navigating to the cloned okapi-em folder and run:
pip install -e .
This should install in any machine, however ...
Currently the FRC calculation provided by the quoll package which is optional because of its stringent environmemt requirements from miplib package. These currently are:
- python 3.7
- linux OS
This issue will be addressed in future version.
To install okapi-em with quoll included:
pip install okapi-em[all]
Note that to run napari in python 3.7 you will need to use the command:
python -m napari
Contributing
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the Apache Software License 2.0 license, "okapi-em" is free and open source software
Issues
If you encounter any problems, please [file an issue] along with a detailed description.
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 okapi-em-0.0.6.tar.gz.
File metadata
- Download URL: okapi-em-0.0.6.tar.gz
- Upload date:
- Size: 25.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.1 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c9138ba4b3ba0f97b42f6640783719a4c94065e99cd990bf95a13c79d1cfe747
|
|
| MD5 |
1e41c21d94bc169c1200221cbd628b2c
|
|
| BLAKE2b-256 |
2a15671ded618288be08e3850d338c1b44c8811704dcc8ecad40b219e4fe1b82
|
File details
Details for the file okapi_em-0.0.6-py3-none-any.whl.
File metadata
- Download URL: okapi_em-0.0.6-py3-none-any.whl
- Upload date:
- Size: 27.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.1 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
761463dc341dc35dd14745a53ed8ad7999db306462be07cac5565eecff22260c
|
|
| MD5 |
41f2d14faf83ef4e5e0479accc75d748
|
|
| BLAKE2b-256 |
468efcff7d3dceee61067735b414d03a18eb820473b385d6a957ad4584ef2ce7
|