[3P-0717] Machine learning approach for discrimination of genotypes based on bright-field cellular images

Godai Suzuki¹, Yutaka Saito^{2, 3, 4}, Motoaki Seki⁵, Daniel YamamotoEvans^{5, 6, 7}, Mikiko Negishi⁵, Kentaro Kakoi⁵, Hiroki Kawai⁸, Christian Landry^{9, 10, 11, 12, 13}, Nozomu Yachie^{5, 6, 7, 14}, ^○Toutai Mitsuyama² (1.Synecoculture Assoc., 2.AIRC, AIST, 3.CBBD-OIL, AIST, 4.Grad. Sch. of Front. Sci.,Univ. of Tokyo, 5.Res. C. for Adv. Sci. Tech., Univ. of Tokyo, 6.Inst. for Adv. Biosci., Keio Univ., 7.Sys. Biol. Prog., Grad. Sch. of Media and Gov., Keio Univ., 8.Res. Dev. Dept., LPIXEL Inc., 9.Inst. de Biol. Integ. et des Sys., Univ. Laval, 10.Dept. de Biochem., Microbiol. et Bio-info., Facul. de sci. et genie, Univ. Laval, 11.PROTEO, Univ. Laval, 12.CRDM, Univ. Laval, 13.Dept. de Biol., Faculte des sci. et de Genie, Univ. Laval, 14.Sch. of Biomed. Eng., The Univ. of British Columbia)

g . Imaging(5 . Information / System / Technology)