@inproceedings{24b5d176930a4ebca303faae67837391,
title = "Metasurface-integrated optofluidic sensing enabled by artificial vision intelligence for identifying liquid chemicals",
abstract = "The 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.",
author = "Hongliang Li and Kim, {Jin Tae} and Kim, {Jin Soo} and Choi, {Duk Yong} and Lee, {Sang Shin}",
note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2023 {\textcopyright} 2023 The Author(s); 2023 Conference on Lasers and Electro-Optics, CLEO 2023 ; Conference date: 07-05-2023 Through 12-05-2023",
year = "2023",
language = "English",
series = "2023 Conference on Lasers and Electro-Optics, CLEO 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 Conference on Lasers and Electro-Optics, CLEO 2023",
address = "United States",
}