300352 UE How to get 3D data from biological objects with X-Ray Tomography and analyse them (2019S)
Special Methods of Structural Botany 1
Continuous assessment of course work
Labels
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.
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Fr 08.02.2019 08:00 to Th 21.02.2019 18:00
- Deregistration possible until Su 31.03.2019 18:00
Details
max. 8 participants
Language: English
Lecturers
Classes
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.Information
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 TomographyImage processing (AMIRA software)Geometric morphometric data analysis (MorphoJ)
Reading list
Association in the course directory
MBO 5, MEC-9, MZO 2
Last modified: We 22.05.2019 16:09