260068 VU Scientific image processing (2021W)
Continuous assessment of course work
Labels
ON-SITE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 01.09.2021 08:00 to Mo 27.09.2021 07:00
- Deregistration possible until Fr 29.10.2021 23:59
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Lectures are currently planned on-site but they will be performed online in case restrictions would require it.
Thursday
07.10.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
14.10.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
21.10.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
28.10.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
04.11.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
11.11.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
18.11.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
25.11.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
02.12.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
09.12.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
16.12.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
13.01.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Thursday
20.01.
09:45 - 12:15
PC-Seminarraum 3, Kolingasse 14-16, OG02
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment will be performed by means of a combination of weekly in-class and/or homework assignments (50%), plus a final exam (50%).
Minimum requirements and assessment criteria
After the assignments and the final exam, a maximum of 100 points will be reachable. 50 points or more are needed for a passing grade, determined as follows:
≥ 50 points: 4
≥ 60 points: 3
≥ 75 points: 2
≥ 90 points: 1
≥ 50 points: 4
≥ 60 points: 3
≥ 75 points: 2
≥ 90 points: 1
Examination topics
Content of the lecture
Reading list
Association in the course directory
M-VAF A 2, M-VAF B
Last modified: Th 07.10.2021 21:09
Most of the advanced methods in modern science are based on acquiring two-dimensional images or movies of a sample/phenomenon of scientific interest. In this course, you will learn the basics of quantitative image processing and analysis for scientific purposes to be able to autonomously design, implement and optimise simple image analysis workflows. You will learn how to squeeze out information out of your images of interest, without altering such information.CONTENTS
Basics of imaging. Digital images. Bit depth. Color. Lookup tables. Regions of Interest (ROI). Quantitative intensity analysis and algebraic operations with images. Image correlations, convolutions and deconvolutions. Fast Fourier transform and other image transforms. Image filtering (linear, non-linear and Fourier). Image thresholding and segmentation. Image annotation and labelling.METHODS
The course will make use of interactive lectures based on students participation, and of continuous assessment in the form of individual or group activities to be performed in class or at home. The course will be designed around the free image analysis software ImageJ/Fiji, which the participants are ideally expected to install on their own computer that they will bring to class. However, participants will be also encouraged to implement the workflows in other environments or languages (e.g. Matlab, Labview, C++, Python, Julia, R...) if they want to do so.