Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > CLEO_AT > 2023 > JTh2A > JTh2A.118

Automated Full-Field Analysis of Terahertz Hyperspectral Images

Margaret E. Granger, Alexa Urrea, Dallin T. Arnold, Ali Hoopes, and Jeremy A. Johnson

Not Accessible

Your library or personal account may give you access

Abstract

We combine amplitude and phase components of terahertz transmission data to improve the accuracy of hyperspectral analysis. By incorporating machine learning methods, we demonstrate fully automated distinction of sample components with high fidelity.

© 2023 The Author(s)

PDF Article
More Like This
Automated Analysis of Terahertz Hyperspectral Images

Margaret E. Granger, Alexa Urrea, Dallin T. Arnold, and Jeremy A. Johnson
JTu4A.64 Frontiers in Optics (FiO) 2022

Full-Field Hyperspectral Imaging of a Painting in the Mid-Infrared

Jake M. Charsley, Michela Botticelli, Valentina Risdonne, Tess Visser, Christina Young, Margaret J. Smith, Marius Rutkauskas, Yoann Altmann, and Derryck T. Reid
ch_4_5 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2023

Label-Free Cancer Classification Using Hyperspectral Imaging Microscopy and Machine Learning

Shuyan Zhang, Shuwen Zeng, Wenjun Liao, Ryan Ron Zee Tan, and Malini Olivo
cl_p_4 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2023

View More...

Poster Presentation

Media 1: PDF (620 KB)     
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use