SpheroidPy

SpheroidPy is a Python package designed for the management and analysis of in-vitro spheroid data. It offers a framework to facilitate the handling, segmentation, and analysis of extensive collections of spheroid microscopy images. Furthermore, it enables users to extract spatial and temporal features gaining insights into the dynamics of underlying biological processes. While primarily developed and optimized for cancer spheroid proliferation and cytotoxicity assays, it can be adapted to other cell entities and three-dimensional assay systems.

About GitHub

Documentation
Detailed information on the underlying structure and usage of SpheroidPy including API Documentation. Source code and tutorials are available here.

Overview

Introduction and Features

Getting Started

Installation and first Steps

Structure of Microscopy Data

Getting familiar with the underlying structure of the package.

Usage in Experiments

Managing and Comparing Replicates across Experimental Conditions

Handling of Microwell Plates

Dedicated functions for live cell imaging in microwell plates