Above the Noise: Using Deep Learning for Higher Precision Measurements of Nanoscale Objects
Researchers at Osaka University use deep learning to reduce noise in the electrical current data collected from nanopores, which may lead to higher precision measurements when working with very tiny experiments or medical diagnostics.
Researchers at Osaka University use deep learning to reduce noise in the electrical current data collected from nanopores, which may lead to higher precision measurements when working with very tiny experiments or medical diagnostics.
medical diagnostics, higher precision measurements, Researchers, nanopores, electrical current data, Osaka University, tiny experiments, deep learning, noise
