Veranstaltungsdaten

Beschreibung: * Proper editing of scientific images for publications and good scientific practice in image handling
* Understanding all aspects of digital images (e.g. metadata, bit depth, histogram,…)
* Scaling, scale bars, false colors, calibration bars, …
* Uneven lighting correction methods for visualization and processing
* Diverse background correction algorithms and their proper application
* Image pre-processing: understanding image filters, their properties and usage
* In-depth object extraction and optimizing image segmentation
* Image post-processing: morphological operations for increased reliability during analyses
* Analysis: object counting, size and shape determination, ROI-based intensity quantification
* Assembly of process automation: A brief introduction to ImageJ macros

All methods are kept as general as possible to achieve a broad applicability. Life or Natural Scientists (optimally around PhD student level and above, imaging experience is helpful but not necessary). Independent of the scientific background, everybody is invited to join if interested in the topic. It has a strong focus on fluorescent micrographs as example images but the methods taught are not limited to those.

The course is designed application-based to learn and apply basic image processing and analysis in daily research. It is not an algorithm-based teaching for computer scientists. The difficulty level is medium but easy to follow in step by step procedures and in-depth explanation of the necessary background to the individual methods.

Important:

Once participation has become binding after the signing-out period, cancellation is only possible via the GGNB or GAUSS Office with a) sick certificate, or b) statement by supervisor for scientific reasons. If you do not provide this, you will be excluded from courses for the next 12 months, as well as travel grants and other financial support. No exceptions.

By signing up you agree (1) to carefully check whether you will be able to attend the course (do not register for 2 courses taking place on the same dates - the above mentioned sanctions apply!), (2) to frequently check your student e-mail account, as all information on courses will exclusively be sent to that account; (3) that your name and e-mail address may be forwarded to the course instructor(s) for communication before and after the course; (4) to complete the course evaluation; (5) inform us if you no longer wish to maintain a waiting list position.