• 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!

You will be working actively with image-analysis software every day -- this is an interactive hands-on school, not a passive lecture series. Short introductions are followed by guided workflows that we step through together. You can (and should) ask questions at any time throughout.

There will be a single invited lecture every day, alternating between scientists using image-analysis as an integral part of their biomedical research and researchers developing new image-analysis algorithms and software.

Also, we encourage you to bring your own data. During the training you will have a chance to explore various tools and concepts of image analysis and if they will be compatible, test them on your data, with support from the trainers.

We are providing financial support to allow more people to apply despite financial constraints. We are going to provide: fee-waiver, travel support (up to 500CHF), and free accommodation for the period of training. Since we have only a limited number of scholarships, please apply for them only when your presence critically depends on receiving one.

1. We will accept 25 participants --- this number is kept low to facilitate effective tutoring.
2. You will need to bring your laptop and data.
3. Participation is only possible for the entire week.
4. The fee covers the attendance to the course and some snacks and drinks throughout the day. You need to cover travel, lunches & accommodation yourself.
5. A small number of fee-waivers & travel grants & free accommodation are available.
6. The workshop starts on Sunday, with some team building activities. We plan dinner on Wednesday (covered in the participation fee!) and some casual networking activities during the week.
7. PhD students can earn two ECTS credits from the school (we provide documents, upon approval of your local doctoral school).