The seminar will cover different kinds of image processing and pattern recognition methods that are used for automatic cell image analysis, e.g. image enhancement, segmentation algorithms and classification methods.
Dates & Rooms:
Thursday, 10:00 - 12:00; Room: 09.150
The schedule for the seminar an be found here.
Restricted access, as we cannot put it up without password restriction!
The images and the schedule will follow next week.
Presentation of topics:
In case of question concerning the topics you can write an email, (simone.gaffling(at)informatik.uni-erlangen.de), or come by after arranging a meeting beforehand.
The analysis of cells and their development and behavior under different conditions is of major importance in biotechnology. However, the necessity for human observation is a major drawback. Cell cultures are negatively influenced when they are moved around, and manual counting of individual cells is tedious and error-prone.
Automatic methods to extract the necessary information could be of immense benefit. The low contrast and high number of shape types that occur in cell imaging, plus the artifacts due to microscopic visualization is a major challenge though.
The seminar will cover different kinds of image processing and pattern recognition methods that are used for automatic cell image analysis.
Topics might include, but are not limited to (students are welcome to suggest own topics):
The individual projects mostly comprise a presentation of the theoretical background, plus a programming assignment.
Programming skills (Matlab, C++), previous or simultaneous attendance of lectures on Medical Image Processing, Pattern Recognition and/or Pattern Analysis is of advantage.
Suitable for: Inf, IuK, EEI, CE
Credits: 5 ECTS
Important dates: The first meeting will take place at the beginning of the semester, check back for details!