Universität Wien FIND
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300121 UE Image analysis and reconstruction of morphological datasets (2019W)

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

Details

max. 9 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Vorbesprechung am 01.10.2019 um 12 Uhr im ÜR 8, UZA 1, Biozentrum Althanstraße 14, 1090 Wien
UE voraussichtlich vom 02.12.2019 - 06.12.2019 ganztägig !

Tuesday 01.10. 12:00 - 13:00 Übungsraum 8, UZA 1, Biozentrum Althanstraße 14, 1.053 EG

Information

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 06.12.2019 15:08