Software

Software produced and maintained by our lab:

Marsilea

Declarative creation of composable visualizations

Marsilea is a Python library for creating composable visualizations in a declarative way. It is built on top of Matplotlib and provides a high-level API for you to assemble a visualization based on composable parts.



LazySlide

Modular and scalable whole slide image analysis

LasySlide is a Python library for processing whole slide images (WSI) analysis. It provides a simple interface to perform robust preprocessing and advanced analysis for WSIs.



WSIData

Efficient data structures and IO operations for whole slide images analysis

WSIData is a data structure for manipulating whole slide images (WSI) and storing its analysis results in Python. It can read a variety of WSI formats and it inherits directly from SpatialData, making it interoperable with the scverse ecosystem. wsidata is designed to used with LazySlide.



wsi

Python library for processing whole slide images (WSI)

A simple Python library for processing whole slide images (WSI) with an object-oriented interface. It has the goal of doing basic processing of WSIs with reasonable defaults, but high customizability. It is a fork of the "CLAM" repository from the Mahmood lab.



cytomine-utils

Python package for high-level interaction with a Cytomine instance