Metadata-Version: 2.1
Name: radianceQuantifier
Version: 0.4.14
Summary: Automatically crops mice and quantifies their tumor luminescences from raw IVIS images
Home-page: https://github.com/soorajachar/radianceQuantifier
Author: Sooraj Achar
Author-email: acharsr@nih.gov
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: joblib (>=1.1.0)
Requires-Dist: numpy (>=1.21.1)
Requires-Dist: opencv-python
Requires-Dist: colorcet
Requires-Dist: hdbscan
Requires-Dist: scipy
Requires-Dist: tqdm
Requires-Dist: pandas
Requires-Dist: pytesseract
Requires-Dist: matplotlib (>=3.3.0)
Requires-Dist: seaborn (>=0.11.1)
Requires-Dist: Pillow
Requires-Dist: plateypus
Requires-Dist: scikit-learn

A image processing pipeline to automatically crop and quantify tumor burdens (radiance) in mice treated with bioluminescent tumors.   
Intutitive processing of quantitative radiance data and raw mouse images is supported through a user friendly GUI interface.

PDF tutorial for GUI is hosted on google drive:
https://drive.google.com/file/d/1Q7HhJTXOGI4TXo2OvoolGBY3IscC_FG0/view?usp=sharing
 
To use this package:
1. If anaconda is not installed, follow installation instructions here: https://docs.anaconda.com/anaconda/install/
2. Start terminal, type in and enter:
```
conda activate
```
3. Now install radianceQuantifier via PyPi by typing the following line in the terminal:
```
pip install radianceQuantifier
```
4. In this anaconda environment, type: 
```
python3 -m radianceQuantifier
```
to start the program
