Abstract

We present a cost-effective mobile sensor based on 3D imaging of contact lenses and machine learning for quantification of Staphylococcus aureus. Compatible with human tear, this wearable-sensor can detect various pathogens and analytes in tear.

© 2018 The Author(s)

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