Course Syllabus for

Multi-spectral Imaging
Multispektral avbildning

FAFF20F, 7.5 credits

Valid from: Autumn 2013
Decided by: FN1/Anders Gustafsson
Date of establishment: 2013-03-21

General Information

Division: Atomic Physics
Course type: Course given jointly for second and third cycle
The course is also given at second-cycle level with course codes: FAFF20, FYST29
Teaching language: 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.


Knowledge and Understanding

For a passing grade the doctoral student must

Competences and Skills

For a passing grade the doctoral student must

Judgement and Approach

For a passing grade the doctoral 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

Course Contents

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. Three laboratory sessions are included: Digital visible and IR imaging Image processing of data from the LANDSAT and SPOT satellites Fluorescence imaging for medical and environmental diagnostics Demonstrations include: Astronomy imaging, electron- and sweep microscopies, PIXE X-ray imaging, MRI imaging Project, consisting of writing comprehensive reports from literature references

Course Literature

Instruction Details

Types of instruction: Lectures, laboratory exercises, exercises, project

Examination Details

Examination formats: Written exam, written report, written assignments. Written exam and laboratory exercises passed. Satísfactory project report.
Grading scale: Failed, pass

Admission Details

Assumed prior knowledge: Basic courses in physics and mathematics.

Course Occasion Information

Contact and Other Information

Course coordinators:

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