Analyzing image data

We provide a python package for analysis called fluopi. You can install from the source code in the repo or via pip install fluopi. The module has a documentation page, where you can see the whole list of functions and read about them. Also, you can see specific function documentation directly with help in a python terminal or Jupyter notebook, e.g. ?flua.get_im_data.

Tutorial and Example Jupyter notebooks:

The examples of using fluopi are Jupyter notebooks. You can install Jupyter directly (http://jupyter.org/install.html) or within Anaconda (https://docs.anaconda.com/anaconda/install/). There is a lot of material on how to use Jupyter, here is a github guide.

We encourage you to use the jupyter notebooks to explore the fluopi module functions and to figure out how to analyze the data. Jupyter notebooks are especially useful to explore parameters values required by the functions or the data to be used. Once you have defined some desired analysis it is recommended to write specific scripts to perform them at once. This approach consumes fewer computer resources and could let you analyze different sets of data in a faster way.