The Technology pillar translates modelling, materials, and biological insights into functional stimulation systems, combining hardware and software into integrated experimental and pre-industrial platforms.
The main objective is to translate research outputs into functional, integrated stimulation systems ready for experimental and pre-industrial deployment.
• Acoustic and vibroacoustic stimulators;
• Ultrasound transducers optimized through modelling;
• Modular experimental rigs for laboratory and preclinical use.
• Precision and repeatability;
• Adaptability to different biological and phantom models;
• Scalability toward industrial deployment.
Fig. 10 — Schematic and real images of the two fabricated sample types: (a) Control sample made entirely of silicone matrix without fibers. (b) Skin phantom inspired by skin anatomy, with an isotropic silicone layer mimicking the epidermis and a unidirectional fiber-reinforced layer mimicking the dermis and its collagen fiber alignment (Langer’s lines).
Custom software platforms support:
This ensures full traceability between numerical inputs, experimental execution, and biological outcomes.
The Technology pillar acts as a system integrator, combining:
into coherent stimulation platforms tailored to specific applications.
Technological platforms are validated against:
• Numerical predictions;
• Phantom-based benchmarks;
• Biological response data.
This guarantees performance consistency and accelerates iteration cycles.
Fig. 22 — Development of a 3D printed Helmet for the ultrasound transcranial experimental test in the cadaveric models
Technological developments are documented through scientific publications, theses, and collaborative research projects, reinforcing transparency and reproducibility.
By combining biomimetic material design, controlled fabrication processes, and systematic experimental characterization, the Materials pillar delivers reliable and reproducible testing environments for stimulation technologies.
Challenge us to develop tissue-mimicking materials tailored to your application.