A plasmonic "rainbow" chip for intelligent spectrometer

Dylan Tua, Ruiying Liu, Lyu Zhou, Wenhong Yang, Haomin Song, Leslie Ying, Qiaoqiang Gan

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

Abstract

Here we report a plasmonic "rainbow" chip for spectroscopic sensing. By analyzing a single image with deep neural network, this image-based system can precisely determine the spectroscopic and polarimetric information of the incident light.

Original languageEnglish (US)
Title of host publication2023 Conference on Lasers and Electro-Optics, CLEO 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781957171258
StatePublished - 2023
Event2023 Conference on Lasers and Electro-Optics, CLEO 2023 - San Jose, United States
Duration: May 7 2023May 12 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
Period05/7/2305/12/23

Bibliographical note

Publisher Copyright:
© Optica Publishing Group 2023 © 2023 The Author(s)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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