Image-Analysis for Biologist
This is the landing page for ZIDAS - SwitZerland's Image and Data Analysis School.
So far, we have held four summer-schools (see below) and more are planned.
ZIDAS 2021 - Online edition
We have decided to move this year's edition online. It will be the first time we undertake such a venture and we are happy that the state of technology allows us to do so. The number of participants will not increase, relative to the "brick-and-mortar" version, as we will stick to the model of personal supervision and assistance.
We are looking forward to seeing many of you online soon, have a lovely day and stay safe.
Best regards from the
About the School
An intensive summer-course in image analysis for life-scientist.
Using open-source tools and emphasising reproducibility.
The What, Who, and Why
What it is: A focused one-week school providing hands-on introductions to image processing and analysis, with priority given to biologically relevant examples. Students learn the fundamentals of image analysis, including basic macro programming in ImageJ/Fiji as well as other software solutions. By the end of the course all students have practical working knowledge of how to attack image analysis problems.
Content: 1) Lectures on image processing interspersed with hands-on demonstrations and exercises. 2) Special topics: Machine learning, Super-resolution, stitching, high-volume data, deconvolution, co-localisation, tracking, image-ethics. 3) Project work: Students will work on real project data, typically their own. 4) Talks: Invited speakers, from Switzerlnad and beyond, presenting work that requires image analysis.
Participants: The target group is from the life-sciences: PhD and master students, staff scientist, postdocs, and professors, from Switzerland and beyond. As funding allows, a few travel grants will be made available for external participants. Overall ~25 students accepted to allow effective tutoring.
Teachers: Didactically outstanding trainers from e.g. ETH Zurich, EPFL, Biozentrum and FMI Basel, EMBL Heidelberg, MPI-CBG Dresden, University College London, University of Edinburgh, IBMP-CNRS Strasbourg, Uni Carlos III Madrid, SciLifeLab Uppsala, and the wider NEUBIAS. Speakers will be invited from across Switzerland and Europe.
Motivation & Background: There is a continued need for researchers in the life sciences to know how to handle their image data and this is typically not covered in their curricula. This school addresses this need.
History (name change):
Links to webpages from former schools, with program, trainers, speakers, etc
Something unclear? Let us know!