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Python module for for creating and manipulating an array of crops (or regions of interest) from images obtained using single-molecule microscopy.
Authors: Tim Stasevich and Luis Aguilera.
This module is intended for creating and manipulating an array of crops (or regions of interest) that were generated from a multicolor TIF video obtained from single-molecule microscopy.
<img src= https://github.com/Colorado-State-University-Stasevich-Lab/croparray/raw/main/docs/images/Fig1-CropArrayConceptV4.png alt="drawing" width="600"/>
<img src= https://github.com/Colorado-State-University-Stasevich-Lab/croparray/raw/main/docs/images/Croparray.gif alt="drawing" width="1000"/>
Install anaconda.
Clone the Github repository
git clone https://github.com/Colorado-State-University-Stasevich-Lab/croparray.git
conda create -n croparray_env python=3.8 -y
source activate croparray_env
pip install -r requirements.txt
python -m pip install "napari[all]"
conda create -n croparray_env python=3.8 -y
source activate croparray_env
pip install croparray
python -m pip install "napari[all]"
conda deactivate
conda env remove -n croparray_env
pip uninstall croparray
pip3
. For example: pip3 install croparray
source activate croparray_env
conda env export > croparray_env.yml
conda env create -f croparray_env.yml
FAQs
Python module for for creating and manipulating an array of crops (or regions of interest) from images obtained using single-molecule microscopy.
We found that croparray demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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