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
2133
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)
22
Top Inventors
Patent Portfolio
Featured Technologies
Discover our latest patented technologies
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.
Decoder and Encoder for Energy in Bandwidth Extension
This patent describes an advanced encoder and decoder system for audio signals, specifically focusing on bandwidth extension. The invention improves how high-frequency (extended-band) audio information is encoded and decoded by predicting the energy of the high-frequency band using linear prediction coefficients and applying an offset that varies depending on the bit-rate. This approach enables efficient and adaptive coding of audio energy for improved sound quality, even in low-bitrate scenarios, and leverages machine learning (DNN) on the decoder to further refine reconstruction quality if needed.
Signal Processing Circuit and Measurement System
This patent describes a method for manufacturing an electric circuit in which a resistor structure and contact points are accurately formed on a substrate. Through a special process involving test signals, the resistor is precisely adjusted (trimmed) to meet specific electrical properties, ensuring accurate circuit performance.
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.)