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-0.4.15.tar.gz
(293.5 kB
view hashes)
Built Distribution
Close
Hashes for radianceQuantifier-0.4.15.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 45bb5ad9278bf7d8501733a887f5ae3d0ee3e3a46a2c6e935604bc1a398cdbdd |
|
MD5 | e370e129ea7e8ee9d5c48884fcc7e4e3 |
|
BLAKE2b-256 | 59e426199969bad7462769166339dfe87b1dcc2627c51dc0a1d605b12bf62968 |
Close
Hashes for radianceQuantifier-0.4.15-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 568dec45cf834f90641a40d94502def4a31e79c7eb78263c494937425659f2d3 |
|
MD5 | ea589f8007b2cd79ad6545ad66650603 |
|
BLAKE2b-256 | 86938cce8da0d1ccac3082cd229521d942b1573fda8e2920c528156df016283f |