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Video-rate terahertz spectral imaging of spherical surfaces

  • Andrew Chen
  • , Zachery B. Harris
  • , Rayko I. Stantchev
  • , Emma Pickwell-MacPherson
  • , M. Hassan Arbab
  • Stony Brook University
  • National Sun Yat-sen University
  • University of Warwick

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

Abstract

Curved surfaces present a specific challenge for reflection-mode imaging due to the difficulty in collecting the returning light. In the case of imaging using terahertz time-domain spectroscopy (THz-TDS), this is compounded by the lack of large-scale array detectors, limiting imaging to slow, point-by-point scanning. For approximately spherical targets, THz imaging systems have been developed to reduce the complicated task of steering the beam normal to the surface to simple translation or gimbal control. Meanwhile, single pixel compressed sensing techniques have been demonstrated in the THz regime to form images with a reduced number of total acquisitions. Here, we present a system which combines spherical scanning geometry with a compressed-sensing design and fast ECOPS acquisition to perform video-rate THz-TDS imaging on curved surfaces.

Original languageEnglish
Title of host publicationComputational Optical Imaging and Artificial Intelligence in Biomedical Sciences II
EditorsLiang Gao, Guoan Zheng, Seung Ah Lee
PublisherSPIE
ISBN (Electronic)9781510684140
DOIs
StatePublished - 2025
EventComputational Optical Imaging and Artificial Intelligence in Biomedical Sciences II 2025 - San Francisco, United States
Duration: Jan 25 2025Jan 28 2025

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume13333
ISSN (Print)1605-7422

Conference

ConferenceComputational Optical Imaging and Artificial Intelligence in Biomedical Sciences II 2025
Country/TerritoryUnited States
CitySan Francisco
Period01/25/2501/28/25

Keywords

  • compressed sensing
  • spherical surface imaging
  • THz-TDS single-pixel imaging

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