About the School
This one-week school provides a hands-on introduction to image processing and analysis, with an emphasis on biologically relevant examples.
Is this school for you?
Digital images of high quality and quantity are now the norm in biomedical sciences. Ten to twenty years ago, when many current professors trained as students or post-docs, this was not yet the case as most microscopes were, at best, equipped with low-resolution digital cameras, celluloid-film (analogue) cameras, or no camera at all.
This rapid change is rarely reflected in the curricula of life-science university departments and they offer few, if any, courses in image processing and analysis. Understandably, courses in image-analysis (computer-vision) in the computer-science departments tend to have different aims, work on different image-data, and pre-suppose literacy in at least one programming language, rendering them all but irrelevant for the life-scientist working in the laboratory.
To bridge this gap, between what the life-scientist needs and what courses she/he is normally offered, we have created this school for image analysis. No former experience with programming is assumed, nor will much indeed be needed; only a strong desire to learn what can be done and how to do it is required.
What you will learn
You will learn the fundamentals of image analysis, including basic macro programming in ImageJ/Fiji as well as other software solutions.
Before the start of the course, you’re expected to validate the IPA4LS on-line course . You’ll have some videos, exercises and quizzes to gauge your IDA knowledge. We ask you to follow the “extra week” dealing with the ImageJ Macro language.
Some possible topics, based on popularity last years:
Structure of the week
You will be working actively with image-analysis software every day -- this is an interactive hands-on school, not a passive lecture series. Short introductions are followed by guided workflows that we step through together. You can (and should) ask questions at any time throughout.
There will be a single invited lecture every day, alternating between scientists using image-analysis as an integral part of their biomedical research and researchers developing new image-analysis algorithms and software.
You will have the chance to work on your own data, that you brought from home, throughout the week, with support from the trainers.
In the second part of the week you will be working on image-analysis projects, in groups, with support from the trainers. On the last day you will present the results of your project-work.
Speakers & Trainers (alphabetical order)
With backgrounds in biology, computer science, and physics and extensive teaching experience across the disciplines
Something unclear? Let us know!
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