Basic information
This course is aimed at participants familiar with the basics of image processing, who want to automate their analysis using scripting. We will work with ImageJ macro language and use it to create a workflow for segmentation, batch processing and analysis of fluorescence microscopy images. In the second part of the course, we will introduce Cellpose, a machine learning algorithm for cell segmentation, demonstrate its use through command line and ImageJ plugin, and incorporate its output into the ImageJ workflow.
No previous programming knowledge is expected, and the course will therefore also briefly introduce basic programming concepts, such as variables, for loops and conditionals (if-else statements). Most of the sessions will be hands-on, and the last day will be dedicated to individual consultations of user projects and questions.
Date: December 2-4, 2026
Duration: 3 days
Language: English
Requirements: bring your own laptop
The course is organized in hybrid form and it is possible to join either in-person or online.
