Course syllabus

Multispektral avbildning
Multi-spectral Imaging

FAFF20, 7,5 credits, G2 (First Cycle)

Valid for: 2016/17
Decided by: Education Board B
Date of Decision: 2016-03-29

General Information

Elective for: BME4-bf, C4, D4-bg, E4-bg, F4, F4-f, F4-es, Pi4
Language of instruction: The course will be given in English


The aim of the course is to provide theoretical and practical knowledge on the generation of and information extraction from multi-spectral images in different wavelength regions and on different spatial scales. Basic knowledge on image processing should be attained.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must

Judgement and approach
For a passing grade the student must

be able to judge the power of multispectral imaging techniques to extract physical and chemical information from images recorded in different wavelength bands.


Molecular physics and molecular spectroscopy, multispectral image registration, image processing, orientation on multivariate analysis, detector systems in the laboratory and in space, image processing systems. Space-based remote analysis and astronomical image analysis. Multi-spectral imaging for medical diagnostics and environmental studies.

Two laboratory sessions are include:

Digital visible and IR imaging

Fluorescence imaging for medical and environmental diagnostics

Demonstrations include: Astronomy imaging, Scanning Probe Microscopy, PIXE X-ray imaging, MRI imaging, Vision group Biology Centre

Home exercises: Calculation and discussion exercises

Examination details

Grading scale: TH
Assessment: Written exam and laboratory exercises passed. Home exercises can provide extra points to the written exam.


Required prior knowledge: Basic courses in physics and mathematics.
The number of participants is limited to: No
The course overlaps following course/s: FAF141

Reading list

Contact and other information

Course coordinator: Stefan Andersson-Engels,
Course homepage: