Universität Wien FIND

300352 UE How to get 3D data from biological objects with X-Ray Tomography and analyse them (2019S)

Special Methods of Structural Botany 1

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

Students are strongly encouraged to bring their own material for CT scanning (max size: 65 x 65 x 100 mm), e.g. for a preliminary study or just for fun. Please note that material has to be infiltrated with contrasting agents before it can be scanned (the ticker the samples, the longer the infiltration). Please contact me (yannick.staedler@univie.ac.at room 417, tel: 01427754084) about 2-4 weeks before the course starts so that the samples can be properly prepared.


max. 8 participants
Language: English



Vorbesprechung Mo, 11.03.2019 14:00-15:00 Seminarraum EG.23 (Fakultätszentrum für Biodiversität) Rennweg EG.

Block: 20.05.-24.05.2019, 9-12 Uhr und 13-16 Uhr , Seminarraum EG.23 (Fakultätszentrum für Biodiversität) Rennweg EG.


Aims, contents and method of the course

- Introduction to Computed Tomography

- Sample preparation and mounting

- Scanning

- Data analysis: image processing, production 3D models, geometric morphometrics

- 3D printing

Assessment and permitted materials

The students who are registered for credit will be graded according to their participation to the course.

Minimum requirements and assessment criteria

The main goal of this course is to provide students with the conceptual foundations, and practical skills that should enable them to understand how Computed Tomography (CT) of flowers functions. At the end of the course, the students should be able to design and carry out a basic CT based morphological studies of flowers. The course is taught from the perspective of evolutionary floral morphology, rather than from a mathematical morphometric perspective.

Examination topics

X-Ray Computed Tomography

Image processing (AMIRA software)

Geometric morphometric data analysis (MorphoJ)

Reading list

Association in the course directory

MBO 5, MEC-9, MZO 2

Last modified: Th 04.07.2019 19:08