ImageJ is probably the most commonly used scientific image data analysis and editing software. It is an open source program, freely available and runs on all operating systems. New features are constantly being added by the community. Fiji is a package adding multiple addons and plugins to ImageJ, but works just as wonderfully. Thus, ImageJ/Fiji is equally suited for ground-braking new developments and easily accessible established functions.
With this workshop we would like to offer our users a basic introduction into the world of digital image processing using ImageJ / Fiji.
You will learn about scientific image processing in general (including ethics and rules), get to know the basic functions of ImageJ/Fiji and dive into few most common special applications (such as co-localization analysis). You will also learn the fundamentals of ImageJ/Fiji’s macro language.
For all major content blocks of the course, you will perform tutorials and apply your newly acquired knowledge in practical hands-on sessions. Furthermore, there will be ample time to discuss your individual needs and challenges.
This workshop is equally suited for undergraduate students as well as Ph.D students, postdocs and technicians who already started in basic image processing with ImageJ / Fiji.
This workshop will be held by dedicated image analysis specialist and ImageJ enthusiast Kota Miura.
The registration fee of 150 € covers lunch (finger food), refreshments and coffee & tea with some snacks and sweets for all days of the workshop.
Albert-Ludwigs University Freiburg
Microscopy and Image Analysis Platform (MIAP)
Life Imaging Center (LIC)
Center for Biological Systems Analysis (ZBSA)
Habsburgerstr. 49
79104 Freiburg im Breisgau
Germany
Kota Miura (associated with NEUBIAS, University of Heidelberg)
e-mail: kotamiura@googlemail.com
Microscopy and Image Analysis Platform (MIAP)
Tobias Wernet
e-mail: tobias.wernet@zbsa.uni-freiburg.de
Sibylle Bartsch
e-mail: sibylle.bartsch@zbsa.uni-freiburg.de
web: https://miap.eu
e-mail: info@miap.eu
December 4th – 5th 2019
A joint Network for scientific Imaging and Image Analysis Infrastructure
Phone: +49 761 203 2934
Email: info@miap.eu
Contact Form