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.
PDF tutorial for GUI is hosted on google drive: https://drive.google.com/file/d/1Q7HhJTXOGI4TXo2OvoolGBY3IscC_FG0/view?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-0.4.16.tar.gz
(293.5 kB
view hashes)
Built Distribution
Close
Hashes for radianceQuantifier-0.4.16.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | b08a89056ed46b9a2404b3f8d799d6200bdb60617cc716d5c60357c648c37ede |
|
MD5 | d2beccf4a34b787882b4f18531361ecf |
|
BLAKE2b-256 | 984501d647f9655e66b7ceaa44b05d851ac54e49a4af94f25866c4eb51804486 |
Close
Hashes for radianceQuantifier-0.4.16-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 05d212036bd536a0b83e4cec58dad12196693e83bea1bcf7cb8138f267c796e1 |
|
MD5 | 5299cfa70488f516adb99a3bb8781c4f |
|
BLAKE2b-256 | b5903607e8f1fc6cbee0184c1630ba902b021d1f784fed1f2ce1cd8dfaeddf7b |