Basic ImageJ/Fiji course
– image processing and analysis –
The main objective of this course is to give the microscopy user a global understanding of the huge potential of the program. We will go through all functionalities of the basic package and present specific tools for use in (cell) biology. During the course we will also review concepts and principles of image processing in general, in order to set a theoretical background.
The course is split over 2 days, both featuring theoretical presentations and interactive practice examples, and is intended for all who are interested in image processing and analysis.
This course will introduce the basic concepts of microscopy image analysis, such as color handling, bit depth & multi-channel images. It will cover image processing in ImageJ and an overview of the many image analysis functions within this free software package. We will show you how to open images from proprietary file types (such as Leica .lif and Zeiss .czi files), how to get from raw data to a multi-panel, multi-color paper or talk figure, create multi-color images, add scale bars, work with hyperstacks, and install and use plugins and macros. You will learn how to enhance and filter images, use multichannel images and stacks, and perform basic analysis such as counting cells, segmentation and intensity analysis. In the afternoon session of day 2, we will cover more advanced analysis, identification of cell subtypes in multichannel images, colocalisation and how to write macros.
January 20 and 27, 2022
Online or on-site
for all who are interested in image processing and analysis
free of charge
Marjolijn Mertz and Bram van den Broek
For more information about the course or image processing, please contact Marjolijn Mertz at firstname.lastname@example.org
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