Access to AXIA equipment is open to scientists from universities and other research institutions, hospitals, incubators, and companies, including SME's, large companies, and GTS institutes.
Feasibility tests are always run in collaboration with us, whereas it requires training to run full studies. To get access as an independent user, training via our courses (see below) is usually required. In some cases, we also take in collaborative projects. Please contact us for more information.
For independent users: "Use of the Novo Nordisk Foundation research infrastructure AXIA (grant NNF19OC0055801) is gratefully acknowledged"
For staff-supported use: "Use of the Novo Nordisk Foundation research infrastructure AXIA (grant NNF19OC0055801) and support from xx is gratefully acknowledged", indicating from who you got support as xx.
All users are required to contribute to maintenance costs through an hourly fee. Contact our facility manager for current prices.
Private sector actors, including GTS institutes, can have access to AXIA equipment on the same terms as for University researchers either through collaborative research with a university or through own research, where results are published. Proprietary research using AXIA equipment is also possible by payment of a fair fee pursuant to the principles of private use of public infrastructure.
Unsupervised use of AXIA CT scanners is possible after attendance to a PhD level course that includes lectures and practical exercises on the equipment. Attendance is free of charge.
Advanced workshops aimed at experienced users will continuously be held.
Detailed information about dates and contents of all courses and workshops will be announced here prior to course start, but if you are interested in receiving training, please contact the facility manager.
Upcoming courses: X-ray computed tomography in practice I: Application of µCT to investigate materials
ECTS credits: 3 ECTS
Level of course: PhD course
Time: January 8-12 + one individual project day later in January
Assessment: Report describing the student’s individual project, including (1) introduction of the research questions and how X-ray µCT is expected to enable answering these, (2) description of the experiment and analysis flow including important considerations underway, (3) presentation of the obtained results, and (4) discussion thereof including perspectives on how µCT can contribute to the student’s overall research. The report will be evaluated on a pass/fail basis.
Capacity limits: 6 participants
Registration deadline: December 18 2023. Registration is open for researchers from all Danish research institutions. Please note that the maximum number of participants is limited. Therefore, preference is given to PhD students, and specifically to students who need the instrumentation in their research. Other than that, participants are accepted on a first come, first serve basis. However, if registration has closed due to oversubscription, please send an email to firstname.lastname@example.org expressing your interest. Information regarding admission will be sent out no later than 20/12 2022.
This graduate course is for PhD students, and other researchers if space permits, who wish to use laboratory-based X-ray micro-computed tomography (µCT) in their research. The course provides the student with an introduction to the basics of X-ray CT followed by experimental exercises composed of user training on the X-ray microscope Zeiss Xradia 620 Versa. Furthermore, simple tools for data analysis will be introduced, including computer exercises on the use of these tools for quantification and visualization of CT data. Data from CT measurements of bone, as an example of a material structured over several length scales, will be supplied for these exercises. Finally, each student will have a project day with an expert user to work on their own sample. The resulting data should be visualized and analyzed, and the project described in a report for assessment of the student’s learning outcome.
For more information and registration: see here