This course aims to cover basic principles of image analysis with emphasis on applications in life sciences and light microscopy. It includes theoretical and practical aspects of image analysis/processing, and covers the underlying basics. Furthermore, it highlights best practices to avoid common pitfalls and sources of bias. The software backbone of the course is Fiji/ImageJ. When necessary, other software of interest will be pointed out. However, all principles taught here are applicable within any image analysis package. Each week the course will cover particular aspects necessary to build up an image analysis workflow. The ImageJ Macro language will be used to showcase image analysis automation, which is readily understandable to non-programmers. The idea of this course is to enable participants to autonomously create and modify simple image analysis workflows on their own. This course requires no particular engineering or programming background, but knowledge of basic biology and microscopy are an asset to understand the motivation behind the concepts and exercises.
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O. Burri, R. Guiet and A.Seitz
Basic image analysis for life scientists with a non-engineering background. The main goal is to teach how to address and solve scientific questions by state of the art image analysis strategies.