Graduate courses

1. Research Methodology for Image Analysis, 4hp 
   Gunilla Borgefors 
   Period: 120401-0630 
   Description: The goal is to give new PhD students useful knowledge about how to become good and published researchers in image processing and applications thereof. The first part is a series of lectures on general themes. The second part is a series of seminars on scientific journals held by the participants. 
   Comment: A guest lecture was given by Ulrika Haak from the Ångström library. 
2. Image Processing Using Graphs, 5hp 
   Filip Malmberg
   Alexandre Falcao, Erik Wernersson 
   Period: 120403-0601 
   Description: Graduate course in graph based image processing. 
3. Models and Methods for Precise Image Analysis, 3hp 
   Cris Luengo Hendriks, Robin Strand, Erik Wernersson, Ida-Maria Sintorn, Gustaf Kylberg, Anders Brun, Alexandra Pacureanu, Johan Nysjö
   Period: 120911-1011 
   Description: Graduate course organized by visiting researchers Nataša Sladoje and Joakim Lindblad. 
4. Quantitative Microscopy, 10hp 
   Carolina Wählby
   Ewert Bengtsson, Cris Luengo, Alexandra Pacureanu, Ida-Maria Sintorn
   External invited lecturers: Anders Ahlander, BioVis, UU, Anna Asplund, IGP, UU, Åsa Kassman Rudolphpi, Dept. Eng. Science, UU, Göran Månsson, CLICK facility, KI, Dirk Pacholsky, BioVis, IGP, UU, Daniel Rönnlund, Exp. Biomolecular Physics, KTH, Alan Sabirsh, AstraZeneca 
   Period: 121009-1212 
   Description: This postgraduate in Quantitative Microscopy was organized at the Dept. of Information Technology, Division of Visual Information and Interaction, during October - December 2012. Different kinds of microscopy are becoming more and more common as tools for research in science and medicine. Very often, the analysis of microscopy data is limited to visual inspection, but with knowledge about the information content, quantitative measurements can be extracted from the data, increasing the value of any scientific experiment. The aim of the course was to provide knowledge about different sample preparation and microscopy imaging techniques, and give a wide perspective on what kinds of information that can be extracted from microscopy image data, and how this can be approached using digital image processing. Apart from theoretical lectures on different microscopy techniques and image analysis, the course also contained a practical project with the aim to give the participants a better understanding of the workflow from sample preparation to quantitative measurements for a specific research application defined based on their own research interests. The projects were realized through a multidisciplinary practical project carried out collaboratively between students specialized in digital image processing, and students from the application areas. The projects included all steps from sample preparation (where the student from the application area acted as the expert, teaching the others), via microscopy, to digital image processing and quantification (where the student from digital image processing acted as an expert, teaching the others). Projects were presented orally in the form of a mini-conference, and printed as part of the internal report series of the Centre for Image Analysis. 
   Comment: credits: 5+ 1-5 (optional size of project) 
5. Classical & Modern Papers 
   PhD students at CBA 
   Period: During the whole year
   Description: Presentation of a classical or modern paper.