ZIDAS 2022, 10-15 July 2022, Lausanne, Switzerland
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?
- Are you a life-science researcher with a pressing need to quantify your light-microscopy images?
- Are you uncertain about how to: Best calculate co-localisation, do deconvolution, automate the counting of cells, track objects over time, handle massive amounts of image data, record your image-analysis workflows in a reproducible manner?
- If you answered yes to some of the above, then this school is 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.
For additional information please check the school page.
Application deadline 30 April 2022 (23:59 CET)