Back Cover: Deep Learning‐Enhanced Nanopore Sensing of Single‐Nanoparticle Translocation Dynamics (Small Methods 7/2021). Issue 7 (14th July 2021)

• Record Type: Journal Article
• Authors: Tsutsui, Makusu; Takaai, Takayuki; Yokota, Kazumichi; Kawai, Tomoji; Washio, Takashi
• Is Part Of: Small methods. Volume 5:Issue 7(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-07-14
• Subjects: deep learning -- ionic currents -- nanofluidics -- nanopores -- noise -- translocation dynamics; Nanotechnology -- Methodology -- Periodicals; Nanotechnology -- Periodicals; Periodicals; 620.5028
• DOI: 10.1002/smtd.202170032
• Languages: English
• ISSNs: 2366-9608

Abstract

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.