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

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: Contribution to conference › Paper › peer-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 language	English
State	Published - 2023
Externally published	Yes
Event	2023 Laser Science, LS 2023 - Tacoma, United States Duration: 9 Oct 2023 → 12 Oct 2023

Conference

Conference	2023 Laser Science, LS 2023
Country/Territory	United States
City	Tacoma
Period	9/10/23 → 12/10/23

Cite this

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title = "Single-Pixel Diffractive Terahertz Processor for Nondestructive Detection of Hidden Objects and Defects",

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.",

author = "Jingxi Li and Xurong Li and Yardimci, \{Nezih T.\} and Jingtian Hu and Yuhang Li and Junjie Chen and Hung, \{Yi Chun\} and Mona Jarrahi and Aydogan Ozcan",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2023, {\textcopyright} 2023 The Authors.; 2023 Laser Science, LS 2023 ; Conference date: 09-10-2023 Through 12-10-2023",

year = "2023",

language = "英语",

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TY - CONF

T1 - Single-Pixel Diffractive Terahertz Processor for Nondestructive Detection of Hidden Objects and Defects

AU - Li, Jingxi

AU - Li, Xurong

AU - Yardimci, Nezih T.

AU - Hu, Jingtian

AU - Li, Yuhang

AU - Chen, Junjie

AU - Hung, Yi Chun

AU - Jarrahi, Mona

AU - Ozcan, Aydogan

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85215530747

M3 - 论文

AN - SCOPUS:85215530747

T2 - 2023 Laser Science, LS 2023

Y2 - 9 October 2023 through 12 October 2023

ER -

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

Abstract

Conference

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