Plasmonic meta-sensors improve cell classification accuracy in biological samples, showing significant reductions in computational complexity.
We investigate a convolutional neural network with the first layer implemented by specially designed plasmonic metasurface photodetectors, showing an order of magnitude decrease in computational complexity for the accurate classification of transparent biological cells.
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Hu et al. (2025) studied this question.
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