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Zürich Image and Data Analysis School 2018

June 19, 2018 - June 24, 2018

(Deadline: April 15, 2018)

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 work-flows in a reproducible manner?
  • If you answered yes to some of the above, then this school is for you!

Motivation

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 he/she 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.

 

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:

  • 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

Details

Start:
June 19, 2018
End:
June 24, 2018
Event Category:
Website:
https://2018.zidas.org/
Deadline
April 15, 2018

Organizer

ETH Zürich
Email:
szymon.stoma@scopem.ethz.ch

Venue

ETH Zürich