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:
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A solid understanding of image formation principles (optical, electron, multispectral and hyperspectral imaging),
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Practical skills in image processing and analysis, including filtering, Fourier transforms, and tomography,
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An introduction to artificial intelligence and deep learning applied to imaging,
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Hands-on experience using open-source tools such as FIJI/ImageJ, Python, and TOMVIZ,
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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:
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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:
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Active participation in hands-on sessions,
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Problem-solving during the escape game,
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A final group presentation.
Applications
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Application deadline: 4th May, 2026
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Contact: apply through aide.minerve@univ-orleans.fr
