**3D image analysis is a core research area within the [Visual Computing section](https://lab.compute.dtu.dk/abda/image-section-homepage/-/blob/master/homepage.md) at [DTU Compute](https://www.compute.dtu.dk/). Our research ambition is to investigate and develop new methods for 3D image analysis for fast and accurate quantification of 3D structures. The purpose is to contribute to futher advancing 3D imaging as a reliable tool for measuring microstructure. Our research is in close collaboration with scientists developing and using 3D imaging. Therefore, we focus on methods that can handle large images.**
**3D image analysis is one of the core research areas within the [Visual Computing section](https://lab.compute.dtu.dk/abda/image-section-homepage/-/blob/master/homepage.md) at [DTU Compute](https://www.compute.dtu.dk/). Our research ambition is to investigate and develop new methods for 3D image analysis for fast and accurate quantification of 3D structures. The purpose is to contribute to futher advancing 3D imaging as a reliable tool for measuring microstructure. Our research is in close collaboration with scientists developing and using 3D imaging. Therefore, we focus on methods that can handle large images.**
By constructing the large-scale facilities [MAX IV](https://www.maxiv.lu.se/) and [ESS](https://europeanspallationsource.se/) in Lund, Sweden, there is now a fantastic opportunity for 3D imaging at extremely high spatial and temporal resolutions. An obstacle is the ability to quantitatively measure the size and shape of the imaged objects. Since the images are large and complex, no unversal methods exists that will provide a solution. Typically, the analysis is by far the most time consuming part of imaging based research, and there is a great need for expertise and new analysis tools. This is exactly our expertise and research focus.
