DIPP Predoc course Freemat/Matlab
This one-week practical teaches basic programming in Matlab/Freemat. We use the free open-source clone Freemat, but the syntax and language are identical with those of the commercial product Matlab and the free clone Octave. The practical focuses on basic bio-image data analysis and post-processing. This course is part of the DIPP/IMPRS graduate training.
Introduction to programming, installing Freemat, basic Freemat/Matlab primer, analysis of biological image data using Freemat/Matlab.
Understand the procedural/array programming paradigm of Matlab/Freemat/Octave
Be able to write own scripts and functions
Use array operations and control structures to do basic image processing
We focus on biological image analysis. The taught methods and concepts are, however, applicable in a much broader sense, and the internet is a rich resource of additional primers and documentation.
Course language: ENGLISH
Please find below the course syllabus:
- Day 1: Introduction, Installation of software, work though the primer
- Days 2-4: Practical project work in groups on biological image analysis
- Day 5: wrap-up and report writing
The practical project will aim at implementing a program that segments a cell from a DIC image, detects fluorescent virus particles in another image, and plots the virus-to-nucleus distance distribution as a function of time post infection. Raw images were kindly provided by the group of Urs Greber, University of Zurich, Switzerland.
- Yuanhao Gong (MOSAIC Group, MPI-CBG)
- Ulrik Guenther (TUD Physics)