AIM-Net - AI-Assisted Multiscale Imaging Network for Cellular and Molecular Processes
AIM-Net (AI-Assisted Multiscale Imaging Network for Cellular and Molecular Processes) is a national research network that brings together leading Spanish groups at the intersection of microscopy, quantitative biology, and artificial intelligence.
The network addresses a central challenge in modern bioimaging: combining information across scales (from molecules to tissues) and across imaging modalities to improve interpretation, modeling, and biological discovery.
The Computer Vision and Pattern Discovery (CVPD) group at UPV/EHU participates in AIM-Net through its expertise in bioimage analysis, computer vision, and deep learning.
🔬 Scientific Scope
- Integrate multiscale imaging data using AI-assisted analysis pipelines.
- Foster collaboration between experimental and computational groups.
- Strengthen national capacity in AI-driven bioimage analysis.
- Promote open science, training, and community-building activities.
🕒 Timeline
- Network start date: 1 September 2025
- Network end date: 31 August 2027
💰 Funding
- Call: Redes de Investigacion 2024
- Funding body: Ministerio de Ciencia, Innovacion y Universidades (MICIU) / Agencia Estatal de Investigacion (AEI)
- Grant reference: RED2024-153844-T
- Funding label: MICIU/AEI/10.13039/501100011033
Links
- AIM-Net official website: https://aim-net.net/
- Official call page: Redes de Investigacion 2024
- Related CVPD announcement post: CVPD joins AIM-Net
Ignacio Arganda-Carreras
Ikerbasque Research Associate Professor
My research interests include image processing, computer vision, and deep learning for biomedical applications.
Fadi Dornaika
Ikerbasque Research Professor
Ikerbasque Research Professor with expertise in computer vision, machine learning, and pattern recognition.
Nagore Barrena
Assistant Professor
My research focuses on computer vision and deep learning, with applications to biomedical and natural images.
Unai Elordi
Assistant Professor
My research interests include computer vision, pattern recognition, and artificial intelligence for intelligent video analytics.
Aitor González-Marfil
PhD Student
My research focuses on generalizable deep learning methods for computer vision.