Welcome to the STRATUM project

The new generation of neuronavigation systems for improved brain tumor surgeries

Our Goals

STRATUM will develop a clinically demonstrated 3D Decision Support Tool for brain surgery guidance and diagnostics based on multimodal data processing through Artificial Intelligence algorithms that will be integrated as an energy-efficient Point-of-Care computing tool

SO-1

To foster advances in personalized medicine

SO-2

To increase the intraoperative diagnostic accuracy

SO-3

To reduce surgery time

SO-4

To improve cost- and energy-efficiency of surgery

SO-5

To clinically demonstrate the STRATUM prototype

SO-6

To prepare the business plan and the TRL9 roadmap

Stay Tuned for News & Events

Follow up on all information and events related to the STRATUM project

STRATUM at the European Citizen Science Association 2026 conference

What does snow and neurosurgery have in common? The last few days STRATUM went all the way to northern[…]

The Third General Assembly of the STRATUM project

The Third General Assembly of the STRATUM project took place in Berlin on the 25th and 26th of September[…]

STRATUM prototype achieves successful first integration in surgery at Dr. Negrín University Hospital

The STRATUM project has reached a significant milestone with the successful use of the first STRATUM hyperspectral acquisition system[…]

Be part of the STRATUM co-creation workshops

The co-creation phase of the STRATUM tool is an ongoing process and its aim is to incorporate the user[…]

Our Consortium

STRATUM partners share a common vision to create an innovative 3D Decision Support Tool for brain surgery guidance and diagnostics

The STRATUM consortium comprises a diverse team, encompassing optical and imaging engineers, physicists, software engineers, clinicians, and industry stakeholders

Our Methodology

The STRATUM project has a duration of 5 years (60 months), and its workflow will follow an interactive, iterative and incremental methodology

Our Results

We are ensuring that our research findings are accessible to readers by offering open access to our publications and public deliverables