The Qim Center

We are an interdisciplinary research and development hub dedicated to advancing quantitative imaging and large scale 3D image analysis. The Center bridges imaging science, artificial intelligence, and high performance computing to enable robust, scalable, and reproducible research.

Our work focuses on transforming complex imaging data into accessible, structured, and actionable knowledge. We specialize in 3D imaging modalities such as µCT and other advanced volumetric techniques, developing tools and infrastructure that support both imaging researchers and AI specialists. By combining domain expertise with modern computational methods, we help researchers move from raw data to validated insights efficiently and transparently.

A core mission of the QIM Center is to make research more FAIR: Findable, Accessible, Interoperable, and Reusable. We design our platforms, data standards, and workflows to promote long term usability and reproducibility. This includes structured data management, clear metadata practices, version controlled pipelines, and well documented computational environments.

We are also strongly committed to Open Source principles. The tools and libraries we develop are released openly whenever possible, encouraging collaboration, transparency, and community driven improvement. By building in the open, we aim to lower technical barriers, accelerate scientific progress, and ensure that publicly funded research delivers lasting value.

At QIM, we believe that high quality research infrastructure is not just technical support. It is a foundation for better, more transparent, and more impactful science.