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Single-Pixel Diffractive Terahertz Processor for Nondestructive Detection of Hidden Objects and Defects

  • Jingxi Li
  • , Xurong Li
  • , Nezih T. Yardimci
  • , Jingtian Hu
  • , Yuhang Li
  • , Junjie Chen
  • , Yi Chun Hung
  • , Mona Jarrahi
  • , Aydogan Ozcan*
  • *Corresponding author for this work
  • University of California at Los Angeles
  • California NanoSystems Institute

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

Abstract

We present the deep learning-based design of a diffractive terahertz processor that rapidly detects hidden defects or objects within a 3D sample by analyzing its output spectrum measured using a single-pixel spectroscopic detector.

Original languageEnglish
Title of host publicationFrontiers in Optics
Subtitle of host publicationProceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
PublisherOptical Society of America
ISBN (Electronic)9781957171296
DOIs
StatePublished - 2023
Externally publishedYes
EventFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023 - Tacoma, United States
Duration: 9 Oct 202312 Oct 2023

Publication series

NameFrontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023

Conference

ConferenceFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Country/TerritoryUnited States
CityTacoma
Period9/10/2312/10/23

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