Universität Wien FIND

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300121 UE Image theory and analysis using open-source programs on morphological datasets (2018W)

3.00 ECTS (2.00 SWS), SPL 30 - Biologie
Continuous assessment of course work


Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).


max. 8 participants
Language: English



Vorbesprechung am 01.10.2018 um 14 Uhr im ÜR 8, UZA 1, Biozentrum Althanstraße 14, 1090 Wien
Block vom 12.11.2018 - 16.11.2018 ganztägig


Aims, contents and method of the course

The course will address image theory, especially what are images and how images can be changed or modified. The acquired skills will particularly focus on image processing and visualization methods of morphological datasets. Open source software such as FIJI (Image J) or drishti will be used during the course. The course does not require any previous knowledge on image processing, but a general interest in the field is expected of the students.
Aim of the course is to convey foundations and methods of image theory, image processing and visualization of morphological datasets. After the course, students should independently be able to use image filters, and also conduct quantitative and qualitative analyses of morphological datasets.

Assessment and permitted materials

Active participation, analysis and understanding of the sample datasets and demonstrations during the course represent one of the main evaluation criteria. Students will receive short projects in groups that will require the acquired skills for analysis (filtering of datasets, volume and surface calculations, segmentation and visualization of datasets). Own projects of e.g. master or phD students are possible. Die achieved result of the short projects will be evaluated in a short oral examination (methods, results, etc.)

Minimum requirements and assessment criteria

Examination topics

Reading list

Association in the course directory

MBO 7, MZO W-1

Last modified: Fr 31.08.2018 08:43