[21p-234A-1~16] 3.4 Biomedical optics

[21p-234A-2] Accurate classification of microalgal cells by frequency-division-multiplexed imaging flow cytometry

〇Hiroshi Kanno¹, Jeffrey Harmon¹, Hideharu Mikami¹, Takuro Ito², Yasuyuki Ozeki³, Keisuke Goda^1,2 (1.School of Sci., Univ. of Tokyo, 2.JST, 3.School of Eng., Univ. of Tokyo)

Keywords:imaging flow cytometry

Imaging flow cytometry is a method for analyzing a large population of cells with high accuracy, but its applications are limited due to its low cell throughput. Here, we overcome this issue using frequency-division-multiplexed imaging flow cytometry and hence report accurate classification of microalgal species. We experimentally confirmed that 6 microalgal species were classified with a high accuracy of 99.5%. Our method has a wide range of applications other than classification of microalgal species.