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.

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