I’m very excited to announce that the Chan-Zuckerberg Initiative will be funding scikit-image and Dash to develop interactive image processing tools for Python, with a specific focus on life science applications.

We will develop modular tools for interactive image processing, based on

  • the scikit-image Python library, which is a collection of image processing algorithms, focussing mostly on scientific imaging
  • the Dash web app framework, which allows to write analytical interactive web apps in pure Python or R. Dash includes interactive graphs based on the plotly graphing library which will be used for image visualization.

The project has several work packages

  • maintenance, community support and documentation
  • acceleration of interactive image processing, with parallelization and caching
  • development of interactive annotation tools, for example for semi-supervized image segmentation or for building a training set of instances for machine learning models.

We are very honoured to be part of an amazing list of open source projects selected in the EOSS program. Updates about specific developments and demos will be posted here. If you are curious about the tools, we suggest that you take a look at the documentations of the two packages:

Support is available on the forums of the different projects