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.
Sign up COPENHAGEN IMAGE ANALYSIS PHD COURSE | Sign up (ku.dk)
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