2023-2024 / BIOC0727-1

Toolbox: imaging and experimental models


20h Th, 4h Pr, 16h AUTR

Number of credits

 Master in bio-informatics and modelling (120 ECTS)3 crédits 
 Master in biochemistry and molecular and cell biology (120 ECTS)3 crédits 


Frédéric Bouché, Grégory Fettweis, Patrick Motte, N..., Sandra Ormenese, Loïc Quinton, Damien Sluysmans, Nicolas Thelen, Marc Thiry, Pierre Tocquin, Marianne Voz


Patrick Motte

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The development of new imaging approaches has led to many important advances in our understanding of the physiology of cells and organisms. They have opened up new avenues of investigation and are playing an increasingly important role in multidisciplinary research.

The aim of this teaching unit is to describe a range of high-performance imaging instruments and techniques for integrating functional data acquired at the level of cells, tissues and organs. Such a description is therefore essential to understand their contribution and the future prospects of these rapidly evolving approaches.

These imaging techniques are very often applied to experimental models. These models, whether animal or plant, have been selected for their characteristics, which make them particularly useful for studying many aspects of cellular/molecular physiology and development.

This teaching unit will therefore begin with an introduction enabling students to familiarize themselves with a number of particularly interesting animal and plant model species, as well as some of the genetic manipulation approaches that are frequently used in combination with the imaging techniques developed in the rest of the module. These include electron microscopy, fluorescence microscopy, quantitative and dynamic imaging atomic force microscopy and mass spectrometry imaging. It concludes with the basics of image analysis, essential for robust data analysis using these imaging approaches.

Learning outcomes of the learning unit

By the end of this unit, students will have :

  • understood the importance of model organisms and the benefits of certain genetic manipulations for the study of physiological and developmental processes;
  • acquired an overview of imaging instruments and various high-performance approaches to molecular and dynamic imaging;
  • understood the principles and possibilities of these techniques, from digital image acquisition to computer-assisted analysis.

Prerequisite knowledge and skills

Not applicable.

Planned learning activities and teaching methods

  • Theoretical presentations
  • Demonstrations
  • Tutorial

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course

Recommended or required readings

Image analysis: https://ptocquin.gitlabpages.uliege.be/image_analysis

Exam(s) in session

Any session

- In-person

written exam ( multiple-choice questionnaire, open-ended questions )

Additional information:

Written exam: integrative open questions and MCQs.

Work placement(s)

Organisational remarks and main changes to the course

  • Students are required to bring their own laptops for the theory course and image analysis tutorials.
  • Before the first lecture about Computer-assisted image analysis, students will have installed the Fiji software on their computer by following the instructions available on the software website (https://fiji.sc).
  • Classes will be held on different sites (B22, B6, CHU-GIGA), but each day will be spent on the same site.
Any absence must be justified, and students are required to make sure their work is in order. If a report is required, it must be completed even in the event of absence. In the event of unjustified absence, the student may not be admitted to the examination.


Module coordination :

Patrick Motte

Tel: 04/366.38.10
e-mail : patrick.motte[at]uliege.be (Fluorescence and dynamic imaging)

List of co-instructors:

  • Pierre Tocquin, ptocquin@uliege.be (Image analysis)
  • Frédéric Bouché, fbouche@uliege.be (Experimental plant models)
  • Marianne Voz, mvoz@uliege.be (Experimental animal models)
  • Nicolas Thelen, nthelen@uliege.be (Electron microscopy & applications)
  • Marc Thiry, mthiry@uliege.be (Electron microscopy & applications)
  • Damien Sluysmans, damien.sluysmans@uliege.be (Microscopy and atomic force...)
  • Loïc Quinton, loic.quinton@uliege.be (Mass spectrometry imaging)
  • Sandra Ormenese, sandra.ormenese@uliege.be (Fluorescence imaging instruments)
  • Grégory Fettweis, gfettweis@uliege.be (Quantitative and dynamic imaging)

Association of one or more MOOCs