INFECTION RECOGNITION AND ELIMINATION IN A MICROFLUIDIC NEURAL LATTICE
Abstract:
A method, system, and computer program product are provided for monitoring neuron growth within a lattice and stopping a spread of an infection. An infection visual recognition module monitors and captures images of the lattice during the neuron growth. The presence of the infection in the neurons within the lattice is identified. The identifying includes performing, via a deep neural network, visual recognition on the captured images to identify the presence of the infection. In response to the identifying, applying a laser to the infected area of the lattice with sufficient energy for stopping the infection. The lattice is flushed to remove chemical byproducts and dead cells resulting from the laser application.
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