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

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Date

2023

Authors

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

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

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.

Description

Keywords

Citation

URI

https://hdl.handle.net/1885/733713430

Collections

ANU Research Publications

Source

Proceedings of the 2023 Conference on Lasers and ELectro-Optics Europe (CLEO Europe-EQEC)

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

Restricted until

2099-12-31

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