Above the noise

Osaka University researchers employed machine learning to remove the noise from experimental data without the need for "clean" examples. As a result, the team was better able to monitor the motion of spheres through tiny nanopores. This work may lead to advances in the fast detection of even very small concentrations of pathogens in patient samples.