Metadata-Version: 2.1
Name: flimview
Version: 1.2.0
Summary: A software framework to handle, visualize and analyze FLIM data
Home-page: https://github.com/Biophotonics-COMI/flimview
Author: Matias Carrasco Kind & COMI Lab
Author-email: mcarras2@illinois.edu
License: License.txt
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: scipy
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: sdtfile
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: h5py
Requires-Dist: Pillow
Requires-Dist: pooch

## flimview

![fig](figures/viz_sdt.png)

### 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](notebooks/)

### Development

To contribute to this package, first clone it:

    git clone https://github.com/Biophotonics-COMI/flimview.git

Then inside flimview

    pip install -e .




