AIM-Net · Deep Learning Summer School
AIM-Net · Deep Learning Summer School
Introduction to AI methods for microscopy and quantitative bioimaging
The AIM-Net Summer School is a core training activity of the AIM-Net thematic network (AEI–REDES) in collaboration with the EUTOPIA Connected Community in Bioimage Analysis, designed to provide early-career researchers with advanced, hands-on training in deep learning methods for microscopy and quantitative bioimaging. The school combines lectures, practical sessions, and project-based work to introduce modern AI tools for image analysis and multiscale biological applications.
The Summer School will take place immediately before the 1st AIM-Net Biennial Conference (2–6 June 2026), ensuring continuity between advanced training and scientific exchange within the network. Participants are strongly encouraged to attend both events.
Audience
The Summer School is primarily aimed at PhD students and early-career researchers working in microscopy, quantitative biology, image analysis, and related fields.
Priority will be given to members of AIM-Net and the EUTOPIA Connected Community in Bioimage Analysis, while participation remains open to external applicants.
Prerequisites: Some prior exposure to Python or a similar language is recommended. All participants should bring their own laptop to actively participate in the hands-on sessions.
Teaching Team
Carlo Manzo, Universitat de Vic – Universitat Central de Catalunya (Spain)
Sébastien Tosi, Universitat Pompeu Fabra (Spain)
Giovanni Volpe, University of Gothenburg (Sweden)
Teaching Assistants
Mirja Granfors, University of Gothenburg (Sweden)
Alex Lech, University of Gothenburg (Sweden)
Jiacheng Huang, University of Gothenburg (Sweden)
Eric Kramer, Universitat Pompeu Fabra (Spain)
Guillem Guigó i Corominas, Universitat de Vic – Universitat Central de Catalunya (Spain)
Aitor González-Marfil, Donostia International Physics Center (DIPC)
Start date
02 June 2026 (afternoon)
End date
06 June 2026 (afternoon)
Fee (VAT included)
615 € — double room
715 € — single room
Location
La Ràpita (Tarragona), Spain
Registration
Please register using the form below before 10 April 2026.
Participants will be selected based on background and motivation to ensure an interactive and balanced training environment. Accepted participants will receive detailed instructions by email on how to complete the payment process.
Capacity: Attendance will be limited to 30 participants.
Fee includes:
Full access to all training activities
Accomodation (full pension)
Coffee breaks and social activities
Transport from/to Barcelona
Training Format
The program introduces the fundamentals of deep learning for bioimage analysis, progressing from Python-based image processing to neural networks, convolutional models, and representation learning. Emphasis is placed on hands-on work using notebooks, real microscopy datasets, and reproducible workflows.
A central component of the Summer School is a group project, developed throughout the week. Participants will work in small teams on predefined project themes, with continuous support from teaching assistants and academic tutors. Projects will culminate in short notebook-based presentations on the final day.
Participants of the Summer School are strongly encouraged to attend the subsequent AIM-Net Biennial Conference, where they will have a guaranteed opportunity to present their work and interact with invited speakers in dedicated sessions.
Sponsors
Co-funded by the European Union.
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor the granting authority can be held responsible for them
