Capabilities for recording neural activity in behaving mammals have greatly expanded our understanding of brain function. Some of the most sophisticated approaches use light delivered by an implanted fiber-optic cable to optically excite genetically encoded calcium indicators and to record the resulting changes in fluorescence. Physical constraints induced by the cables and the bulk, size, and weight of the associated fixtures complicate studies on natural behaviors, including social interactions and movements in environments that include obstacles, housings, and other complex features. Here, we introduce a wireless, injectable fluorescence photometer that integrates a miniaturized light source and a photodetector on a flexible, needle-shaped polymer support, suitable for injection into the deep brain at sites of interest. The ultrathin geometry and compliant mechanics of these probes allow minimally invasive implantation and stable chronic operation. In vivo studies in freely moving animals demonstrate that this technology allows high-fidelity recording of calcium fluorescence in the deep brain, with measurement characteristics that match or exceed those associated with fiber photometry systems. The resulting capabilities in optical recordings of neuronal dynamics in untethered, freely moving animals have potential for widespread applications in neuroscience research.

Bioresorbable electronic materials serve as foundations for implantable devices that provide active diagnostic or therapeutic function over a timeframe matched to a biological process, and then disappear within the body in a way that avoids secondary surgical extraction procedures. Approaches to power supply in these physically transient systems are critically important. This paper describes a fully biodegradable, monocrystalline silicon photovoltaic (PV) platform based on microscale cells (microcells) designed to operate at wavelengths with long penetration depths in biological tissues (red and near infrared wavelengths) such that external illumination can provide realistic levels of power. Systematic characterization and theoretical simulations of operation under porcine skin and fat establish a foundational understanding of these systems and their scalability. In vivo studies of a representative platform capable of generating ~60 W of electrical power with an open circuit voltage (V oc ) of ~4 V under 4 mm of porcine skin and fat illustrate an ability to operate blue light-emitting diodes (LEDs) as subdermal implants in rat models for 3 days. Here, the PV system fully resorbs over a period of 4 months. Histological analysis reveals that the degradation process introduces no inflammatory responses in the surrounding tissues, consistent with excellent biocompatibility of the devices, their constituent materials and degradation by-products. The results suggest the potential for using silicon photovoltaic microcells as bioresorbable power supplies for a range of transient biomedical implants.

Two-dimensional materials such as graphene have shown great promise as biosensors, but suffer from large device-to-device variation due to non-uniform material synthesis and device fabrication technologies. Here, we develop a robust bioelectronic sensing platform  composed of  more than 200 integrated sensing units, custom-built high-speed readout electronics, and machine learning inference that overcomes these challenges to achieve rapid, portable, and reliable measurements. The platform demonstrates reconfigurable multi-ion electrolyte sensing capability and provides highly sensitive, reversible, and real-time response for potassium, sodium, and calcium ions in complex solutions despite variations in device performance. A calibration method leveraging the sensor redundancy and device-to-device variation is also proposed, while a machine learning model trained with multi-dimensional information collected through the multiplexed sensor array is used to enhance the sensing system’s functionality and accuracy in ion classification.

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This review examines the advantages of two-dimensional (2D) and thin film materials in the development of chemical sensor systems. More specifically, this paper focuses on the use of graphene, transition metal dichalcogenides (TMDs), and thin film metal-oxide semiconductors (MOX) in gas- and liquid-phase chemical sensing applications. Key features in terms of material properties, device characteristics, as well as scalability for system development are examined. Key challenges associated with various sensing approaches (e.g. optical, electrochemical, FET/chemiresistive) are presented along with recent advances. Lastly, common methods for preprocessing and pattern recognition are summarized while highlighting the development of olfaction-inspired sensor systems to motivate the use of machine learning for data analysis.