Automatically crops mice and quantifies their tumor luminescences from raw IVIS images
Project description
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.
Main powerpoint tutorial for GUI is hosted on google drive: https://drive.google.com/drive/folders/1uMwXMndPof3gsGh2eiZvHXkv-mX3mg3h?usp=sharing
To use this package:
- If anaconda is not installed, follow installation instructions here: https://docs.anaconda.com/anaconda/install/
- Start terminal, type in and enter:
conda activate
- Now install radianceQuantifier via PyPi by typing the following line in the terminal:
pip install radianceQuantifier
- In this anaconda environment, type:
python3 -m radianceQuantifier
to start the program
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
radianceQuantifier-0.4.2.tar.gz
(271.1 kB
view hashes)
Built Distribution
Close
Hashes for radianceQuantifier-0.4.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a366524785a1d8d8ffda6fc22b0fe4d51c59a1b0c7d0cde1cba45ebd11145352 |
|
MD5 | 8413e1c1394683c6c993d554eb7b7692 |
|
BLAKE2b-256 | 01b0c6733a9dddc26e573f149a3eb5a3fc06b3296f9aa13292a1e9a343c8ff4d |