Innovation Portfolio
Friedrich-Alexander-Universität Erlangen-Nürnberg
Major research university with strong focus on engineering, medical technology, and digital transformation. Excellence in materials science, energy research, and health innovation within Bavaria's Medical Valley.
1000
Patents
2172
Inventors
17
Spin-offs
Patent Portfolio
Analysis of our organization's intellectual property assets
Patents by Technology Area
Portfolio Highlights
Total Patents
1000
Recent Patent Publications (2025 & 2026)
27
Top Inventors
Patent Portfolio
Featured Technologies
Discover our latest patented technologies
Protective Device for a Magnetic Resonance Tomography Apparatus
This invention is a protective shield device designed to attach to the patient table or guide rail of an MRI scanner. It features one or more flat, largely closed shielding panels connected to the attachment point via articulated joints that allow rotational adjustment, preferably around two perpendicular axes. This flexibility lets the shield be precisely positioned to protect specific body parts or areas of the patient during an MRI scan. The device effectively blocks or reduces unwanted exposure or interference in a targeted, adjustable manner.
Fiber-Coupled Quantum Sensor
A fiber-coupled quantum sensor uses color centers (such as nitrogen-vacancy centers in diamond) embedded in a sensor layer to detect physical quantities like magnetic fields. Excitation light is delivered to the sensor layer through a first optical fiber with a relatively narrow numerical aperture, while at least one second optical fiber with a significantly larger numerical aperture — at least twice as large — collects and guides the fluorescence light emitted by the color centers back for analysis. This asymmetric aperture design maximizes the collection efficiency of the weak fluorescence signal without compromising the precision of the excitation beam. The result is a compact, fiber-integrated quantum sensor suitable for use in confined or remote environments.
Quantitative Material Characterization of an Object with Magnetic Resonance Imaging
This invention is a computer-implemented method that extracts quantitative tissue properties—such as T1 and T2 relaxation times and proton density—from standard MRI scans without requiring specially designed acquisition sequences. It works by repeatedly comparing MRI data simulated from a virtual tissue model against two or more real MRI scans taken with different acquisition settings, then iteratively adjusting the model until the simulated and real data match closely. The final, optimized model directly yields spatially resolved maps of the tissue's physical parameters. Because it can use routine clinical MRI scans as input, no additional or specialized scanning protocols are needed.
Success Stories
Featured Spin-off Companies
Companies founded based on our organization's technologies
IBLATECH
IBLATECH is a digital agency based in Nuremberg offering web development, IT consulting, eCommerce, and marketing solutions for small and medium-sized businesses.
INVRTUAL UG
INVRTUAL UG is a startup specializing in the development of immersive web applications and virtual worlds using 3D, gamification, and AI.
Carbonsate
Carbonsate is a climate technology company specializing in efficient, nature-based carbon dioxide removal through biomass storage.
Contact the Technology Transfer Office
The FAU Technology Transfer team is ready to assist you with licensing inquiries and collaboration opportunities
Get in Touch
Phone
+49 9131 85-25871
zuv-wtt@fau.de
Address
Henkestraße 91, Medical Valley Center Haus 2, EG 91052 Erlangen
Office Hours
Mo-Fr: 9 – 17 Uhr (allg.)