The in vitro models for performing cancer research are evolving, from traditional 2D monolayer cultures and 3D tumor spheroids to advanced 3D patient-derived organoids and even microtumor models. However, the methods for analyzing these models have not been able to keep up, are tied to a specific imaging system, or are blocked by exorbitant software paywalls.
That’s why we started Orbits Oncology.
Our mission is to provide researchers with an adaptable image analysis software that is compatible with multiple cancer models and independent of any specific imaging system.
Whether it is research into drug discovery, therapy screening, fundamental science, or more, we are here to help streamline your workflow and accelerate your preclinical and clinical developments.
Meet The Team
Our core team comes from a highly diverse background (oncology, computer science, and biomedical engineering), which serendipitously converged at the University of Antwerp―Center for Oncological Research at the end of 2019. After experiencing and hearing about the frustrations surrounding cancer research, especially with live-cell imaging techniques, we decided to do something about it.
During the global pandemic, our team worked together to develop and validate an artificial intelligence-driven imaging software that was not tethered to a specific microscope or imaging platform and worked on traditional and advanced in vitro cancer models. By the end of 2020, they had submitted their first peer-reviewed manuscript on validating this novel method.
It was always the vision of the team to bring their technology to cancer researchers across the globe. Therefore, in 2021, they were awarded a grant by the University of Antwerp Industrial Research Fund to integrate their software into a user-friendly web platform to streamline the whole image analysis and data interpretation pipeline.