Gulliver

This is a Python package based on Napari and OME Zarr to view and analyze whole slide images of liver stainings.

The goal of this package was to help with the analysis of whole slide immunostaining of livers. I combined OME Zarr and Napari to allow the user to access the images without the need of a powerful computer. I used accelerated-object-pixel-classifier (APOC) to classify pixels and then morphological operations with logical assumptions to identify different structures in the slides. I used APOC's TableRowClassifier to classify structures from their morphometric properties and used scikit-image to quantify.