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-0.2.3.tar.gz
(268.3 kB
view hashes)
Built Distribution
Close
Hashes for radianceQuantifier-0.2.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f63426053676f07dd20d8fa80b59aad68fb613e4d8f6c9c966e690417ce430bf |
|
MD5 | 24953fbe98b9c1ba500c66e976c44724 |
|
BLAKE2b-256 | ca689ce4e6ce2b25e3121e5a5b2a1ead9f80b8480b5d7f7d768a7e4cc261764d |