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About the research project:
Can we visualize the hidden architecture of biological tissues using X-rays? X-ray computed microtomography (microCT) is a non-destructive imaging technique that enables researchers to examine the internal organization of biological samples in three dimensions without physical sectioning. Originally developed for materials science, microCT has become an increasingly important tool in biology, enabling the study of complex structures at micrometer resolution.
In this workshop, you will be introduced to the principles and applications of microCT in biological research. Particular attention will be given to the challenges associated with imaging soft tissues, which often require contrast enhancement to be visible in X-ray-based techniques. You will prepare biological samples, apply contrast agents, and understand how these steps affect X-ray absorption. In addition, you will explore the fundamental physics of X-ray generation and detection, as well as the principles of computed tomography that enable the reconstruction of three-dimensional datasets. Beyond data acquisition, the summer school will also introduce you to the basics of digital image processing and analysis.
Research project outline:
- Sample Preparation and Staining – Students will be introduced to basic laboratory practices and safety. The session will focus on how staining enhances soft-tissue visibility in X-ray imaging and why different approaches are used. By the end of the day, students will gain the know-how to prepare samples for scanning.
- Principles of microCT Scanning – The second day will combine theory and practice. Students will learn the fundamentals of X-ray imaging, including how X-rays are generated, how they interact with matter, and how computed tomography systems reconstruct internal structures. Participants will then perform microCT scans of prepared samples.
- Image Analysis and 3D Reconstruction – On the final day, students will be introduced to basic image processing and segmentation techniques. They will work with their scan data and compare to different scans.
Capacity:
- 2 students
Research project leader:
