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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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Formato: | Texto |
Lenguaje: | English |
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Optical Society of America
2010
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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. |
format | Text |
id | pubmed-3028498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Optical Society of America |
record_format | MEDLINE/PubMed |
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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