Zurich Image and Data Analysis School
Are you a life-scientist needing to quantify microscopy images?
Do you want to learn how to co-localise, deconvolve, automate, track, handle massive data, and record work-flows?
If yes, this school is for you!
This one-week school provides a hands-on introduction to image processing and analysis, with an emphasis on biologically relevant examples. Participants will learn the fundamentals of image analysis, including macro programming in ImageJ/Fiji, MATLAB, as well as a range of focused topics 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. In the first part of the week, it will also cover the process of image formation as it pertains to image analysis: Resolution, correct exposure, point-spread functions, detector noise, Shannon’s sampling theorem, and aliasing. All with a clear focus on application in the lab. In the second half of the week there will be a number of focused topics, building on what was learnt during the first days:
- Scripting in MATLAB
- Tracking particles and cells in time-lapse recordings
- De-convolution of microscopy images
- Stitching and registration of stacks of large image data
Deadline for application: August 15, 2017 at 12pm