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Image Analysis Course
June 14 - June 21
Copenhagen, 14-21st June 2024
We will initially use Fiji to illustrate fundamental image analysis concepts, then expand to introduce other software packages such as QuPath and Napari.
The students will learn what a digital image is, how and when to perform basic image processing tasks and how to combine such tasks to perform advanced image processing and segmentation, automated pixel classification and 2D and 3D measurements. Furthermore, the students will learn basis Macro programming and how to automate analysis of many images.
Learning objectives
A student who has met the objectives of the course will be able to:
- Use open source tools (Fiji, Cell Profiler and others)
- Do basic Macro programming in Fiji (ImageJ) for automated batch analysis of images
- Understand the principles of image processing and analysis
Form
Students will have to submit an image processing project before the course; summarizing a bioimaging experiment and describing the research question. The course will consist of a course preparation day (June 14 – introduction to image formation, basics on Fiji and preparation of own projects) followed by 5 days teaching (June 17 -21).
The course program includes work on own project sessions with advice, supervision and support from the teachers (3 at least at all times).
Course director
- Tricia Loo, PhD, University of Copenhagen
tricia.loo@sund.ku.dk
Teachers
- Clara Prats, PhD, University of Copenhagen
- Richard De Mets, PhD, University of Copenhagen
- Sébastien Tosí, PhD, Spain
- Tricia Loo, PhD, University of Copenhagen
- Julia Katharina Mertesdorf, MSc, University of Copenhagen, University of Copenhagen
The fee to enroll in the Image Analysis course conducted by DBI-INFRA is 2500DKK, and there are only 10 spots available.