Li, HongliangKim, Jin TaeKim, Jin-SooChoi, DukLee, Sang-Shin2024-06-262024-06-267 - 12 May978-1-957171-25-8https://hdl.handle.net/1885/733713430The currently used liquid identification techniques are costly, cumbersome, and spectrometer-reliant. In this study, a compact, accurate, and cost-effective method for identifying liquids was presented using visual intelligence algorithms and a metasurface-incorporated optofluidic device incorporated.This study was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education (2018R1A6A03025242), Ministry of Science and ICT (MIST) (2020R1A2C3007007), the research grant of Kwangwoon University in 2022, and Electronics and Telecommunications Research Institute (ETRI) grant funded by the Korean government (21YR2710, Nanophotonic vision intelligence for airborne virus detection).application/pdfen-AU© Optica Publishing Group 202320232024-01-14