This study aims to restore grating lobe artifacts and improve the image resolution of sparse array ultrasonography via a deep learning predictive model. A deep learning assisted sparse array was developed using only 64 or 16 channels out of the 128 channels in which the pitch is two or eight times the original array. The deep learning assisted sparse array imaging system was demonstrated on ex vivo porcine teeth.
View Article and Find Full Text PDFOrganic electrochemical transistors (OECTs) have emerged as a next-generation biosensing technology because of their water-stability, cost-effectiveness, and ability to obtain high sensitivity at low operation voltage (mV). However, a miniaturized readout unit that can wirelessly characterize the overall performance of an OECT is still missing, which hinders the assembling of truly wearable OECT systems for continuous health-monitoring applications. In this work, we present a coin-sized analytical unit for remote and wireless OECT characterization, namely, a personalized electronic reader for electrochemical transistors (PERfECT).
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