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Dr. Klaudia Hettwer
Coordination

Oili Tsakmakis
Administration

oltecw+h(8c7yat)uni-oldhnenburg.tcovdevdm/ (oltech@rgeuol.deg86)

Room W3 1-138
Phone.: +49 (0)441 - 798 3648/49

Office hours:
Tuesday 13:00 - 14:00
Thursday 10:00 - 12:00 
and by appointment 

Scientific Image Processing and Analysis (Biovoxxel - Dr. Jan Brocher)

OLTECH PhD study programme Neurosensory Science & Systems PhD study programme Interface Science PhD study programme Environmental Sciences and Biodiversity PhD programme Medicine and Health Sciences

The workshop aims to teach natural scientists from different areas of life science how to handle and process digital images starting from e.g. microscopic image acquisition until the incorporation into the final publication figure.

This includes important theory about high quality digital images in general (e.g. how to achieve good resolution) as well as a broad spectrum of methods for scientifically correct image processing and specific analytical purposes according to high scientific standards. You will learn how to extract different types of information from your images and how to quantify objects and intensities. Additionally, the workshop includes a lot of hands-on sessions, methods to automate repetitive tasks to decrease time investment while reducing user bias. Furthermore, it provides some guidelines for do's and dont's during publication figure preparation.

You will be able to revisit the learned material using the provided exercises and script also later on. The workshop content is generally of importance for scientists working with digital images and their analysis but has a strong focus on microscopy! Optional topics will be adjusted to meet the participants needs as good as possible if there is time left.

Furthermore, specific participant question regarding image processing or solutions for analysis issues can be personally discussed if communicated beforehand (e-mail with question and example images).

More information about the specific topics...

Please register via StudIP!

Start Time

27. March 2019, 09:00 – End date: 28. March 2019, 16:00

Webmas+nterjnf9 (oltxbqeechcjn@uol.deg33o) (Changed: 2018-11-22)