computational tools for
cancer spheroid models
Three-dimensional tumor spheroids and organoids are increasingly used as physiologically relevant preclinical model systems. Unlike conventional two-dimensional cultures, they preserve key aspects of the cellular heterogeneity and three-dimensional spatial organization of human tumors. This makes them especially suitable for investigating questions related to tumor architecture, treatment response, and mechanisms of resistance under controlled experimental conditions.
In addition, spheroids and tumoroids provide a suitable platform for quantitative and biophysical research.
Their controlled setting, combined with the three-dimensional architecture, makes them ideally suited for the application of advanced live-cell imaging, automated image analysis and computational modeling approaches that capture the spatial organization and temporal dynamics.
Therefore, we have developed a computational framework to incorporate quantitative analysis into experimental workflows and data processing.
It aims to enhance the extraction of information from imaging data and provide user-friendly access to growth metrics and spatial features.
Software
To enhance the quantitative analysis of three-dimensional cancer cell assays, we have developed a dedicated software package combining relevant tools into a unified framework. More information can be found below or on our
GitHub page. For questions, feedback or feature requests, feel free to
contact us.
Open Source Principles
Since our software builds upon established theoretical models as well as open-source packages, we are committed to making our own packages available open source.