Teaching

Learning how to operate an imaging system is only a small part of modern bioimaging education. The focus of image-informatics teaching is instead on understanding the limitations and potential sources of error throughout the entire imaging workflow, from sample preparation and microscopic image formation to image processing and quantitative analysis. Awareness of these limitations is essential for correctly interpreting image data, recognizing artefacts and methodological bias, and drawing robust biological conclusions.

This principle is conveyed through a practical course on confocal microscopy, a course on image processing with an increasing emphasis on AI-based analysis methods, and a lecture on molecular and cellular imaging. The aim is to develop a critical understanding of microscopy, from image formation and experimental design to quantitative image analysis and artificial intelligence. Students are trained to recognize artefacts, methodological limitations, and the boundaries of what can actually be inferred from microscopic images.

 

• MOL.889UB. Molecular and Cellular Imaging. VO. 2h. S. 
   
• MOL.890UB. Molecular and Cellular Imaging. LU. 2h. WS/S.
   
• MOL.870UB. Digital Image Processing and Analysis in Life Sciences. 1.5h WS. 
   

Further teaching, see UniGraz-Online: 

online.uni-graz.at/kfu_online/ee/ui/ca2/app/desktop/