Scientific Image Processing

S. Irsen (caesar Bonn, Molecular Sensory Systems)
H. Scharr (Forschungszentrum Jülich, Plant Sciences)
K. Krajsek (Forschungszentrum Jülich, Troposphere)
F. Rhiem (Forschungszentrum Jülich, PGI-JCNS Scientific IT Systems)
J. Heinen (Forschungszentrum Jülich, PGI-JCNS Scientific IT Systems)

Processing microscopy images is important to quantify data in both biophysics and soft matter. This course provides an introduction to image processing starting with how to obtain a digital image and how to apply simple filters. You will also get a chance to visit the electron microscopy and analytics facility at caesar. Using Python, you will then be able to get first hands-on experience on image processing. Follow-up lectures will then introduce you to optical flow/feature detection, classification of images, and scientific visualisation.

If there is interest by several participants at the end of the course, there might be a possibility to learn more about ACTIVE, the Aachen Center for Biomedical Image Analysis, Visualization and Exploration after the end of the semester.

Introduction to image processing (S. Irsen)
Wednesday, November 9, 9:00-5:00 (caesar Bonn, room 3.01/3.03)
Image Processing using Python
Wednesday, December 14, 9:00-5:00 (building 16.15, auditorium)
Optical flow/feature detection (H. Scharr)
Wednesday, January 11, 1:00-2:30 (building 15.1, room 249)
Classification of Images (K. Krajsek)
Wednesday, January 25, 1:00-2:30 (building 15.1, room 249)
Scientific Visualisation (F. Rhiem and J. Heinen)
Wednesday, February 8, 1:00-2:30 (building 15.1, room 249)