Back Cover: Deep Learning‐Enhanced Nanopore Sensing of Single‐Nanoparticle Translocation Dynamics (Small Methods 7/2021)

Abstract

In article number 2100191, Makusu Tsutsui, Tomoji Kawai, Takashi Washio, and co‐workers demonstrated the use of deep learning in nanopore sensing. Employing convolutional neural networks, ionic current was denoised in a high dimensional feature space that enabled to visualize hidden signals reflecting fast translocation motions of objects in a nanoscale conduit. This deep denoising paves a way for single molecule fingerprinting by ionic current using solid state nanopores.