Schedule#
Two days, in Room BSS E 21, 9:00–17:30 with a break from 12:30 to 14:00.
Day 0: Theory introduction and computer setup#
Friday, 18.9.2026
Lecture |
Lecture: Introduction to the fundamentals of biological image analysis. |
Setup |
Guided setup of the software environment used in the course |
Day 1: Image analysis basics#
Monday, 21.9.2026
Fiji practical |
Recap of Day 0, then Fiji: Getting famililar with scientific images and establishing a simple image analysis workflow. |
Python notebooks |
Using Python for automating reproducible image analysis and Machine Learning tools. |
Day 2: Workflows and analysis#
Tuesday, 22.9.2026
Python notebooks |
Measuring how good a segmentation is, extracting features from images and performing data analysis with curve fitting. |
Challenge |
Independent work: Analysing a drug screening dataset. |
Homework (after the course)#
See homework for the details.