Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > FiO > 2010 > FTuY > FTuY2

Substance identification in spectroscopic optical coherence tomograhpy using pattern recognition

Volker Jaedicke, Christoph Kasseck, Nils C. Gerhardt, Hubert Welp, and Martin R. Hofmann

Not Accessible

Your library or personal account may give you access

Abstract

We use a windowed Fourier transform in the spatial regime to calculate depth resolved spectra from multilayer absorbing samples. Depth resolved substance identification is performed based on a pattern recognition algorithm using spectral features.

© 2010 Optical Society of America

PDF Article
More Like This
Spectroscopic optical coherence tomography for substance identification

Volker Jaedicke, Helge Wiethoff, Semih Ağcaer, Christoph Kasseck, Nils C. Gerhardt, Hubert Welp, and Martin R. Hofmann
80911U European Conference on Biomedical Optics (ECBO) 2011

Spectroscopic image analysis with pattern recognition in frequency domain optical coherence tomography

Volker Jaedicke, Christoph Kasseck, Nils C. Gerhardt, Hubert Welp, and Martin R. Hofmann
BSuD8 Biomedical Optics (BIOMED) 2010

Multi-Step Pattern-Recognition: A Powerful Tool for Substance Identification Based on Real-World Terahertz-Spectra

Frank Ellrich, Daniel Molter, Joachim Jonuscheit, Georg von Freymann, René Beigang, Frank Platte, Konstantinos Nalpantidis, Thorsten Sprenger, and Daniel Hübsch
SF1F.6 CLEO: Science and Innovations (CLEO:S&I) 2014

View More...
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