Duration
2 days
Training structure
Service Commun de la Formation Continue
Language(s) of instruction
French
Presentation
The deployment of digital pathology in laboratories streamlines and optimizes the process of slide reading by pathologists and facilitates collaborative work.
Beyond this advantage, digital pathology offers an expansion and diversification of analyses that pathologists and scientists cannot handle without tools. Image analysis therefore appears to be the solution for performing thesemultifactorial analyses. However, its use must be regulated and controlled in order to provide reliable and robust answers to biological and scientific questions.
Training benefits
Benefit from the expertise of Manon Motte, an expert in Digital Pathology and Image Analysis with 14 years of experience.
Having worked in dermatological research and then providing services to the pharmaceutical, cosmetics, and academic laboratory industries, Manon Motte offers her experience and knowledge to current and future players in the field of histology.
Objectives
- Understanding the challenges of digital pathology through image analysis.
- Understand the principles and general functioning of image analysis software.
- Be aware of the constraints and limitations of using image analysis software.
- Run a workflow on an image analysis tool.
Program
This short course consists of 10 hours of training, including 7 hours of theory and 3 hours of practice spread over 2 days.
Training session onMarch 18 and 19, 2026.
Price: €690 including tax
PROGRAM
Day 1: Theory
The first day is devoted entirely to theoryand will be divided into two parts.
The first part covers the key concepts and principles of image analysis.
The second part will allow participants to integrate all the concepts they have learned or reviewed and to understand the daily workflow in order to respond reliably and robustly to image analysis requests.
Day 2: Practicalsession
This half-day session will focus on image analysis software that can be used to analyze both light-field and fluorescence images. After an explanation of how the software works, participants will watch a demonstration and then have the opportunity to practice using the software under the supervision of the trainer. Participants may bring images to perform their own tests.
Admission
Target audience
Engineers and laboratory technicians wishing to increase their knowledge in the field of image analysis