computational tools for
cancer spheroid models
Over the past decades, three-dimensional tumor spheroids and organoids - so called tumoroids - have emerged as promising and physiologically relevant preclinical models. Unlike traditional two-dimensional culture systems, tumoroids preserve key aspects of the cellular heterogeneity and the three-dimensional spatial organization of human tumors. This provides a platform to investigate questions related to tumor architecture, treatment response and resistance mechanisms under controlled conditions.
Tumor spheroids and tumoroids offer a unique opportunity for quantitative, 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, please 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.