Skip to content

A software framework to handle, visualize and analyze FLIM data

License

Notifications You must be signed in to change notification settings

Biophotonics-COMI/flimview

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

57 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

flimview

DOIPyPI version

fig

pip installation

pip install flimview

Conda Installation for Jupyter environment

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 flimview --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 .