Are you a life-scientist needing to quantify microscopy images?
Do you want to learn how to automatically detect objects in images, track spots and cells, build reproducible image processing workflows, deconvolve and enhance microscopy images, and handle massive data? If yes, this school is for you!

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 we 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, including topics such as:

  • Deep Learning for image restoration and segmentation
  • SMLM (Single-Molecule Localisation Microscopy) data analysis
  • Call4Help sessions
  • Hands-on training with image-analysis software solutions such as ilastik and CellProfiler

Time: 18th – 23rd June 2019

Place: ETH, Zurich, Switzerland

Participation fee: 500 CHF (academia) / 1000 CHF (industry)

Deadline: 15th April 2019 (midnight)

For further information please visit this webpage: http://2019.zidas.org/

Szymon Stoma, Beat Schuler & Simon F. Nørrelykke
Image and Data Analysis (IDA) group, Scientific Center for Optical and Electron Microscopy (ScopeM) | EXCITE @ ETH Zurich