A software framework to handle, visualize and analyze FLIM data
Project description
flimview
Conda Installation
First create a python 3 conda environment
conda create -n flimview python=3 -y
To activate such environment
conda activate flimview
To install the need requirements
conda install -y -c conda-forge jupyterlab ipywidgets nodejs
To enable the widgets
jupyter labextension install @jupyter-widgets/jupyterlab-manager
and finally to install flimview from github
pip install git+https://github.com/Biophotonics-COMI/flimview.git --upgrade
Optional Packages
To run few things in parallel and other analysis you can install a few more packages
pip install scikit-image dask[complete] dask-jobqueue --upgrade
Example data
To get the example data run:
from flimview import datasets
# Get SDT example file
datasets.fetch_sdt()
# Get PTU file
datatsets.fetch_ptu()
Examples
Check the notebooks examples here
Development
To contribute to this package, first clone it:
git clone https://github.com/Biophotonics-COMI/flimview.git
Then inside flimview
pip install -e .
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