[18p-E302-1~11] 12.6 Nanobiotechnology

[18p-E302-8] Shape classification of nanoparticles in liquid using light scattering intensity

〇(B)Keisuke Yamamoto¹, Hiromi Kuramochi¹, Hiroaki Takehara^1,2, Yasushi Shibuta¹, Takanori Ichiki^1,2 (1.Tokyo Univ., 2.iCONM)

Keywords:nanoparticles, deep learning, scattered light

In order to obtain a wider range of property information using Nano Tracking Analysis (NTA), a technique for measuring single particles in liquid, we attempt to obtain additional property information using deep learning analysis. Based on the fact that light scattered by nanoparticles is affected by the particle shape, we extract luminance information from nanoparticles of two different shapes and perform shape classification using deep learning. The possibility of multiparametric analysis of nanoparticles in liquid using the LSTM model is discussed.