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Contrast improvement of terahertz images of thin histopathologic sections

We present terahertz images of 10 μm thick histopathologic sections obtained in reflection geometry with a time-domain spectrometer, and demonstrate improved contrast for sections measured in paraffin with water. Automated segmentation is applied to the complex refractive index data to generate clus...

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Detalles Bibliográficos
Autores principales: Formanek, Florian, Brun, Marc-Aurèle, Yasuda, Akio
Formato: Texto
Lenguaje:English
Publicado: Optical Society of America 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3028498/
https://www.ncbi.nlm.nih.gov/pubmed/21326635
http://dx.doi.org/10.1364/BOE.2.000058
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author Formanek, Florian
Brun, Marc-Aurèle
Yasuda, Akio
author_facet Formanek, Florian
Brun, Marc-Aurèle
Yasuda, Akio
author_sort Formanek, Florian
collection PubMed
description We present terahertz images of 10 μm thick histopathologic sections obtained in reflection geometry with a time-domain spectrometer, and demonstrate improved contrast for sections measured in paraffin with water. Automated segmentation is applied to the complex refractive index data to generate clustered terahertz images distinguishing cancer from healthy tissues. The degree of classification of pixels is then evaluated using registered visible microscope images. Principal component analysis and propagation simulations are employed to investigate the origin and the gain of image contrast.
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spelling pubmed-30284982011-02-16 Contrast improvement of terahertz images of thin histopathologic sections Formanek, Florian Brun, Marc-Aurèle Yasuda, Akio Biomed Opt Express Microscopy We present terahertz images of 10 μm thick histopathologic sections obtained in reflection geometry with a time-domain spectrometer, and demonstrate improved contrast for sections measured in paraffin with water. Automated segmentation is applied to the complex refractive index data to generate clustered terahertz images distinguishing cancer from healthy tissues. The degree of classification of pixels is then evaluated using registered visible microscope images. Principal component analysis and propagation simulations are employed to investigate the origin and the gain of image contrast. Optical Society of America 2010-12-03 /pmc/articles/PMC3028498/ /pubmed/21326635 http://dx.doi.org/10.1364/BOE.2.000058 Text en ©2010 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.
spellingShingle Microscopy
Formanek, Florian
Brun, Marc-Aurèle
Yasuda, Akio
Contrast improvement of terahertz images of thin histopathologic sections
title Contrast improvement of terahertz images of thin histopathologic sections
title_full Contrast improvement of terahertz images of thin histopathologic sections
title_fullStr Contrast improvement of terahertz images of thin histopathologic sections
title_full_unstemmed Contrast improvement of terahertz images of thin histopathologic sections
title_short Contrast improvement of terahertz images of thin histopathologic sections
title_sort contrast improvement of terahertz images of thin histopathologic sections
topic Microscopy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3028498/
https://www.ncbi.nlm.nih.gov/pubmed/21326635
http://dx.doi.org/10.1364/BOE.2.000058
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