Digital Imaging Systems

5 credits

Syllabus, Master's level, 1MD041

Education cycle
Second cycle
Main field(s) of study and in-depth level
Image Analysis and Machine Learning A1F
Grading system
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 29 February 2024
Responsible department
Department of Information Technology

Entry requirements

120 credits. Participation in either Introduction to Image Analysis or Computer-Assisted Image Analysis. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Learning outcomes

On completion of the course, the student should be able to:

  • describe the physics and technique behind modern imaging techniques
  • describe basic principles for sample preparation in relation to the different imaging techniques
  • reason and analyse around the possibilities and limitations in resolution with regards to time, space and spectrum
  • describe how the different techniques affect the imaged sample, and reason about the effects that might have onthe image and subsequent interpretation/analysis
  • judge and reason about the suitability of different imaging techniques in combination with imageprocessing/analysis and machine learning methods for different applications


The course will present different imaging techniques that have been developed over the last decades in a unified way, and to compare and contrast the possibilities and limitations with the respective techniques. Techniques that will be covered in the course are different sensor types, multispectral imaging, microscopy (light, electron), and medical imaging systems (PET, MR, CT, US).


Lectures by experts in the different imaging techniques. Project where the students individually prepare and present a minilecture on imaging technique of own choice.


Written exam and oral project presentation.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Other directives

This course cannot be included in the same degree as 1MD130 Digital Imaging Systems

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