Metasurface-integrated optofluidic sensing enabled by artificial vision intelligence for identifying liquid chemicals

Hongliang Li, Jin Tae Kim*, Jin Soo Kim, Duk Yong Choi, Sang Shin Lee*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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.

    Original languageEnglish
    Title of host publication2023 Conference on Lasers and Electro-Optics, CLEO 2023
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781957171258
    Publication statusPublished - 2023
    Event2023 Conference on Lasers and Electro-Optics, CLEO 2023 - San Jose, United States
    Duration: 7 May 202312 May 2023

    Publication series

    Name2023 Conference on Lasers and Electro-Optics, CLEO 2023

    Conference

    Conference2023 Conference on Lasers and Electro-Optics, CLEO 2023
    Country/TerritoryUnited States
    CitySan Jose
    Period7/05/2312/05/23

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