Imaging/Tomography, 17-20 May, 2021

SwedNess Course Code:     GSn_005
English Course Title:            Real-Space Neutron Imaging/Tomography
Svenskt Kursnamn:              Neutron Radiografi/Tomografi
Credits:                                  3 hp  

Educational Level:               Third Cycle
Subject Area:                        Neutron Scattering
Grade Scale:                         Pass/Fail
Where:                                   Online

This course targets masters, PhD students and possibly postdocs from all fields.
The objectives of the course are to develop awareness and understanding of different neutron imaging methods and their possible applications in different areas of research. Students should thus be able to make more effective use of neutron imaging in research by identification of the best methods, understanding the strengths of different methods/facilities and understanding the importance and key aspects of data analysis. Students will also gain insight into the future possibilities in neutron imaging, e.g., at ESS.

This doctoral-level course will introduce to neutron imaging from radiography and tomography to advanced approaches such as scattering-contrast, energy-selective and polarised neutron imaging. Each modality will be described from its theoretical background through to the experimental practicalities, data analysis and real examples.


The course is open to doctoral students, postdocs and researchers. Preference will be given to doctoral students, and in particular those in the SwedNess-programme.

List of Lecturers:

  • Robin Woracek (ESS)
  • Anders Kaestner (PSI)
  • Nikolay Kardjilov (HZB)
  • Stephen Hall (U. Lund)


  • Mock imaging project proposal based on a given material challenge where the facility and beamline choice is free, but should be justified (i.e, the students should investigate the different beamlines at different facilities and explain why one beamline is chosen over another). The imaging configuration should also be given (imaging mode, beamline/imaging parameters, e.g., L/D, resolution). This should be developed in groups during the week and presented to the whole class at the end of the week before being written up and submitted as a group work. Groups will be set-up that combine students with different research interests/backgrounds and home institutions.
  • Image analysis challenge. The students should first follow a tutorial that guides them through some aspects of image visualization, filtering and segmentation in Fiji / Matlab. Based on this, the students will tackle an example data set to segment phases then visualize and quantify the output. This should be presented as a report.

Examiner and Contact person:
As. Prof. Stephen Hall              E-mail:
Lund University                         Phone: +46 (0)46 222 45 89
Division of Solid Mechanics

Further information:

  • All lectures will be “live” on-line and adapted to this format.
  • Lectures will also be recorded with the aim to make the lectures public on the LINXS website.
  • Students will be expected to have a laptop computer sufficient for the image analysis and reconstruction practical parts; these practicals will also be adapted to be possible on “standard” laptops.
  • Part of the course will involve a hands-on exercise in tomographic data reconstruction using the program muhrec from Anders Kaestner at PSI: (and test data:
  • The students should also have access to matlab
Last modified: 2022-11-24