TU Delft researchers have developed nanoscale drums made of graphene to identify bacteria by converting their movements into sound patterns. Each drum detects the unique audio signature produced by individual bacteria, enabling precise identification with nearly 90% accuracy using machine learning models. This innovation could revolutionize bacterial diagnostics in medical settings by providing a faster and more accurate alternative to traditional microscopy methods.
Read the full article at Hackaday
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