Advanced Imaging Techniques: From Data Acquisition to Deep Learning
ATHENA is pleased to support the Spring School “Advanced Imaging Techniques: From Data Acquisition to Deep Learning”, an intensive five-day training program dedicated to modern imaging methods and image processing, from fundamental concepts to cutting-edge applications.
Organized by Rafael Gregorio Mendes and Cécile Louchet, this Spring School will take place from 18th May to 22nd May, 2026, in Orléans, France, at the Physics-Chemistry Building (ICMN/CNRS) and the MACLE microscopy platform of the University of Orléans.
A multidisciplinary training in advanced imaging
The program is designed for Master’s students, PhD candidates, and Erasmus+ students in physics, chemistry, and materials science. Limited to 24 participants, the Spring School offers a highly interactive learning environment and awards 5 ECTS credits.
Participants will gain:
A solid understanding of image formation principles (optical, electron, multispectral and hyperspectral imaging),
Practical skills in image processing and analysis, including filtering, Fourier transforms, and tomography,
An introduction to artificial intelligence and deep learning applied to imaging,
Hands-on experience using open-source tools such as FIJI/ImageJ, Python, and TOMVIZ,
Insight into industrial, medical, and academic applications of advanced imaging techniques.
Program overview
The Spring School combines lectures, seminars, laboratory visits, and hands-on sessions:
Day 1 – Foundations of Image Processing and Image Formation
Introduction to microscopy techniques and mathematical foundations of image processing, followed by practical sessions on filtering and Fourier transforms.Day 2 – Advanced Techniques and 3D Imaging
Focus on tomography, including electron tomography, with hands-on reconstruction and segmentation using TOMVIZ.Day 3 – Image Formation Techniques
Comparative approach to optical and electron microscopy, with visits to TEM and SEM instruments and image simulation exercises.Day 4 – Hyperspectral and Multimodal Imaging
Fundamentals of multispectral and hyperspectral imaging, including EDX, EELS, and multimodal data analysis.Day 5 – Trends and Future Directions
Introduction to deep learning for image analysis, concluding with an interactive scientific escape game and group presentations.
Teaching format and evaluation
The Spring School runs over 5 full days (6 hours per day), combining theory and practice. Evaluation is based on:
Active participation in hands-on sessions,
Problem-solving during the escape game,
A final group presentation.
Applications
Application deadline: 4th May, 2026
Contact: apply through aide.minerve@univ-orleans.fr & international.st@univ-orleans.fr
