Our research – explained
Transparent transfer-free ultrasmall multilayer graphene microelectrodes enable high quality recordings in brain slices
New paper out! Nerea Alvarez de Eulate did a wonderful work developing optically transparent multilayer graphene electrodes, miniaturizing them down to 10 µm, and using them to record brain activity in vitro. In this work, we present multilayer graphene microelectrodes fabricated directly on transparent wafer substrates, eliminating the need for transferring pre-grown layers. Beyond this,…
Ultrasound-transparent neural interfaces for multimodal interaction
We are very excited to share our latest publication on the topic of Ultrasound transparent neural interfaces for multimodal interaction, recently published in Nature Portfolio npj Flexible Electronics in collaboration with the groups of David Maresca and Valeria Gazzola. Here, we introduce a framework for designing flexible, metal-based neural interfaces that remain acoustically transparent, enabling integration with functional…
Beyond Acoustic Transparency: The Role of Polymer Encapsulation
Ultrasound is a powerful modality for wireless powering of implantable devices. But packaging remains a major challenge: hermetic cases often block acoustic transmission, while soft polymer encapsulation may alter device performance. In our recent work at IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC), we investigated how implant-grade polymer coatings such as thermoplastic polyurethane,…
How Soft Encapsulation Enables Long-Term Reliability of Silicon IC Implants
Our latest paper, “On the longevity and inherent hermeticity of silicon-ICs: evaluation of bare-die and PDMS-coated ICs after accelerated aging and implantation studies,” is now published in Nature Communications Portfolio. Silicon integrated circuits (ICs) are at the heart of next-generation brain-computer interfaces BCIs and active neural implants. A key question driving our work: How do…
Wirelessly powered neural stimulators can be more efficient
Wirelessly powered neural stimulators can be more efficient than the state of the art. This can be achieved by making the supply of the commonly used constant current source adaptive based on what is really needed at the output, leading to a power efficiency increase of up to 35%, compared to a fixed supply. Here…
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