IEMSB - Imaging Empowered Multiscale Biophysics (2026-2029)

The Imaging Empowered Multiscale Biophysics (IEMSB) initiative has been officially funded under the Ayudas para apoyar las actividades de grupos de investigación del sistema universitario vasco (2026-2029) programme. The final resolution was communicated on 24 August 2026.

Led by Dr. Virginia Martinez-Martinez and Dr. Ignacio Arganda-Carreras, IEMSB unites researchers from the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC) at the Instituto Biofisika. The initiative connects molecular, cellular and tissue scales through advanced imaging, computation and quantitative biophysics.

IEMSB bridges cellular structure, tissue biophysics, AI-based imaging and chemistry through Basque imaging platforms
Fig. 1: IEMSB: Bridging scales through Imaging, Al, Chemistry and Biophysics. An initiative to foster scientific excellence, interdisciplinary training, and international impact.

🔬 Scientific Goals

IEMSB is organised around four complementary research lines:

  • Structural Biology and Cellular Architecture: resolving macromolecular structures and dynamics in native cellular environments using cryo-EM, cryo-ET and correlative fluorescence microscopy.
  • Tissue Biophysics: understanding how cell-ECM interactions, forces and adhesion dynamics shape neural and epithelial tissues during development, repair and ageing.
  • AI-Based Tools for Imaging: developing interpretable, scalable and data-efficient methods for denoising, segmentation, classification, particle picking and subtomogram analysis.
  • Chemistry-Driven Tools for Imaging: designing fluorophores, fluorogenic probes and biosensors for quantitative and super-resolution imaging of molecular events in living systems.

The programme works in close coordination with the Basque imaging platforms BRALM (advanced light microscopy), BREM (electron microscopy) and BRAIIAN (AI and image analysis). Together, these platforms provide an integrated framework for imaging-driven multiscale biophysics.


🌐 Basque Imaging Platforms

  • BRALM: advanced light and super-resolution microscopy.
  • BREM: cryo-electron microscopy, cryo-electron tomography and correlative imaging.
  • BRAIIAN: artificial intelligence, computer vision and image analysis.

👥 Project Team

Principal Investigators

CVPD Team

The wider IEMSB group comprises 22 members, including 21 doctors and one predoctoral researcher, with expertise spanning physical chemistry, biochemistry, molecular biology, computer science and artificial intelligence.


🕒 Timeline

  • Start date: 1 January 2026
  • End date: 31 December 2029
  • Duration: 48 months

💰 Funding

Euskal Jaurlaritza - Gobierno Vasco

📄 Project Documentation


📬 Contacts

For project enquiries, please contact:

Ignacio Arganda-Carreras
Ignacio Arganda-Carreras
Ikerbasque Research Associate Professor

My research interests include image processing, computer vision, and deep learning for biomedical applications.

Fadi Dornaika
Fadi Dornaika
Ikerbasque Research Professor

Ikerbasque Research Professor with expertise in computer vision, machine learning, and pattern recognition.

Nagore Barrena
Nagore Barrena
Assistant Professor

My research focuses on computer vision and deep learning, with applications to biomedical and natural images.

Unai Elordi
Unai Elordi
Assistant Professor

My research interests include computer vision, pattern recognition, and artificial intelligence for intelligent video analytics.

Aitor González-Marfil
Aitor González-Marfil
PhD Student

My research focuses on generalizable deep learning methods for computer vision.