The 82nd JSAP Autumn Meeting 2021

Presentation information

Oral presentation

12 Organic Molecules and Bioelectronics » 12.6 Nanobiotechnology

[10p-N207-1~16] 12.6 Nanobiotechnology

Fri. Sep 10, 2021 1:30 PM - 6:00 PM N207 (Oral)

Koji Sumitomo(Univ. of Hyogo), Hitoshi Asakawa(Kanazawa Univ.), Akahori Rena(日立研開)

4:00 PM - 4:15 PM

[10p-N207-10] Deep learning enhanced single-particle motion tracking in solid-state nanopores

Makusu Tsutsui1, Takayuki Takaai1, Kazumichi Yokota2, Tomoji Kawai1, Takashi Washio1 (1.Osaka Univ., 2.AIST)

Keywords:nanopore, deep learning, ionic current

Silid-state nanopore is a versatile platform for sensing nanoscale objects in liquid. A long-standing issue in this sensor has been the fast translocation motions of analytes that makes it difficult to detect meaningful information from resistive pulse signals due to relatively large noise floor involved in the ionic current measurements. In the present study, therefore, we employed deep neural networks to denoise the high-frequency noise in a high dimensional feature space. It enabled to identify particle-motion-derived faint changes in the ionic current hidden in the large noise.