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From Pictures to Numbers - 2023

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All the important information can be found at the course site

and on the P2N2023 flyer.

About the P2N Training School

The aim of this course is to lower the threshold for researchers who use microscopy or molecular imaging on a routine basis and/or demand image analysis for their own research by:

  • Providing fundamental knowledge on the most important image properties, basic processing algorithms and typical analyses

  • Giving direct hands-on training on how to perform very common tasks in open source software ranging from simple image annotation to more advanced deep learning applications.

An overview of different image analysis platforms and an introduction to basic scripting capabilities should further enable the participants to select or devise apt solutions for their image analysis needs. The primary goal is to familiarize PhD students, post-docs and lab technicians, who work with images of biological samples and have limited or no experience with the fundamentals of biological image analysis.

Learning outcomes

After this course participants should be able to: 

  • Know important image properties and processing algorithms 

  • Annotate and present images in a publication-ready format

  • Learn how to handle large data files

  • Know which analytical routine to select and apply

  • Compose basic image analysis workflows 

  • Gain proficiency in basic scripting language 

  • Understand how deep learning can be applied to bioimage analysis

Dates

  • Day 1:  13 September 2023 

  • Day 2:  14 September 2023
  • Day 3:  15 September 2023

Venue

  • University of Antwerp, Campus Drie Eiken, Universiteitsplein 1 2610 Wilrijk, Antwerp

Organizing & Scientific Committee

This course is organized by the members of Flanders BioImaging, a consortium of imaging core facilities in Flanders.

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