In vivo optogenetics and photopharmacology are two techniques for controlling neuronal activity that have immense potential in neuroscience research. Their applications in tether-free groups of animals have been limited in part due to tools availability. Here, we present a wireless, battery-free, programable multilateral optofluidic platform with user-selected modalities for optogenetics, pharmacology and photopharmacology.
View Article and Find Full Text PDFWireless battery-free optogenetic devices enable behavioral neuroscience studies in groups of animals with minimal interference to natural behavior. Real-time independent control of optogenetic stimulation through near-field communication dramatically expands the realm of applications of these devices in broad contexts of neuroscience research. Dissemination of these tools with advanced functionalities to the neuroscience community requires protocols for device manufacturing and experimental implementation.
View Article and Find Full Text PDFThe use of optogenetics to regulate neuronal activity has revolutionized the study of the neural circuitry underlying a number of complex behaviors in rodents. Advances have been particularly evident in the study of brain circuitry and related behaviors, while advances in the study of spinal circuitry have been less striking because of technical hurdles. We have developed and characterized a wireless and fully implantable optoelectronic device that enables optical manipulation of spinal cord circuitry in mice via a microscale light-emitting diode (µLED) placed in the epidural space (NeuroLux spinal optogenetic device).
View Article and Find Full Text PDFCapabilities in continuous monitoring of key physiological parameters of disease have never been more important than in the context of the global COVID-19 pandemic. Soft, skin-mounted electronics that incorporate high-bandwidth, miniaturized motion sensors enable digital, wireless measurements of mechanoacoustic (MA) signatures of both core vital signs (heart rate, respiratory rate, and temperature) and underexplored biomarkers (coughing count) with high fidelity and immunity to ambient noises. This paper summarizes an effort that integrates such MA sensors with a cloud data infrastructure and a set of analytics approaches based on digital filtering and convolutional neural networks for monitoring of COVID-19 infections in sick and healthy individuals in the hospital and the home.
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