Eligibility & Prerequisites
Courses are open to all, but selection may be limited if the number of applicants is high.
Our main target group are PhD students, but courses are also open to advanced MSc students, postdocs, and participants from industry.
Next course date
Autumn 2026
Learning Objectives
- Develop awareness and understanding of neutron imaging methods and their applications across research areas.
- Learn to identify the most suitable techniques and facilities and understand key aspects of data analysis.
- Gain insight into future opportunities in neutron imaging, particularly at ESS.
- Explore modalities from radiography and tomography to advanced methods such as scattering-contrast, energy-selective, and polarised neutron imaging.
Course Main Content
The course includes an introduction to neutron imaging, covering basic concepts and definitions, interaction mechanisms, different modalities, and the complementarity of X-ray and neutron imaging. It presents neutron imaging beamlines and systems (past, present, and future) and introduces neutron tomography, from acquisition to reconstruction, including mathematical principles with a focus on transmission (attenuation) imaging, followed by a tutorial on tomographic reconstruction (part I). Advanced techniques include wavelength-resolved imaging, ToF imaging, Bragg-edge imaging, and diffraction contrast imaging, as well as extreme imaging (fast, large, high resolution), polarised neutron imaging, grating interferometry, and SEMSANS. The course also covers 2D, 3D, and 4D image analysis through lectures and tutorials, along with complementary techniques.
Literature
Will be provided closer to the course start date.
Lecturers
Robin Woracek (TBD); Anders Kaestner (PSI); Nikolay Kardjilov (HZB); Stephen Hall (LU).
Examination & Requirements for Final Grade
- Mock imaging project proposal: choose facility and beamline, justify configuration and parameters; group presentation and report.
- Image analysis challenge: guided tutorial (Fiji/Matlab) followed by segmentation, visualization and quantification; report.
Contact
Assoc. Prof. Stephen Hall (Division of Solid Mechanics, Lund University) – Stephen.Hall@solid.lth.se
Further Information
All lectures “live” online, and recorded. Students need laptops capable of analysis; practicals adapted for standard laptops. Hands-on reconstruction using the program MuhRec from Anders Kaestner (PSI) and test data. Matlab access required.