Metadata-Version: 2.1
Name: clement
Version: 0.3.0
Summary: GUI for Correlative Light and Electron Microscopy
Home-page: https://github.com/AyyerLab/Clement
Author: CNI Group at MPSD
Author-email: kartik.ayyer@mpsd.mpg.de
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy>=1.0.0
Requires-Dist: scikit-image
Requires-Dist: scikit-learn
Requires-Dist: pyqt5
Requires-Dist: numexpr
Requires-Dist: mrcfile
Requires-Dist: read-lif==0.4.0
Requires-Dist: tifffile
Requires-Dist: matplotlib
Requires-Dist: pyqtgraph
Requires-Dist: pyyaml
Requires-Dist: xmltodict

# Clement
[![PyPI version](https://badge.fury.io/py/clement.svg)](https://badge.fury.io/py/clement)
## GUI for Correlative Light and Electron Microscopy
A graphical program to correlate electron microscopy and fluorescent optical images of the same sample.

## Installation
The package is pure python, and the easiest way to install it is through PyPi with the following command:
```
$ pip install clement
```
We recommend create a separate environment using either `conda` or `virtualenv` to manage dependencies.

Further instructions are available in the Wiki [here](https://github.com/kartikayyer/Clement/wiki/installation).

## Tutorial
A guide with screenshots for semi-automatic alignment of FM and EM images based on observable features is also described on the [wiki](https://github.com/kartikayyer/Clement/wiki/tutorial-2D).

