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Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging

This study is an initial investigation on the capability of multispectral imaging to capture subtle spectral information that would enable the automatic delineation between the eosinophilic esophagitis and other eosin stained tissue components, especially the RBCs. In the method, a principal compone...

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Detalles Bibliográficos
Autores principales: Bautista, Pinky A, Yagi, Yukako
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3073213/
https://www.ncbi.nlm.nih.gov/pubmed/21489190
http://dx.doi.org/10.1186/1746-1596-6-S1-S2
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author Bautista, Pinky A
Yagi, Yukako
author_facet Bautista, Pinky A
Yagi, Yukako
author_sort Bautista, Pinky A
collection PubMed
description This study is an initial investigation on the capability of multispectral imaging to capture subtle spectral information that would enable the automatic delineation between the eosinophilic esophagitis and other eosin stained tissue components, especially the RBCs. In the method, a principal component analysis (PCA) was performed on the spectral transmittance samples of the different tissue components, excluding however the transmittance samples of the eosinophilic esophagitis. From the average spectral error configuration of the eosinophilic esophagitis transmittance samples, i.e. the difference between the actual transmittance and the estimated transmittance using m PC vectors, we indentified two spectral bands by which we can localize the eosinophils. Initial results show the possibility of automatically localizing the eosinophilic esophagitis by utilizing spectral information.
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spelling pubmed-30732132011-04-12 Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging Bautista, Pinky A Yagi, Yukako Diagn Pathol Proceedings This study is an initial investigation on the capability of multispectral imaging to capture subtle spectral information that would enable the automatic delineation between the eosinophilic esophagitis and other eosin stained tissue components, especially the RBCs. In the method, a principal component analysis (PCA) was performed on the spectral transmittance samples of the different tissue components, excluding however the transmittance samples of the eosinophilic esophagitis. From the average spectral error configuration of the eosinophilic esophagitis transmittance samples, i.e. the difference between the actual transmittance and the estimated transmittance using m PC vectors, we indentified two spectral bands by which we can localize the eosinophils. Initial results show the possibility of automatically localizing the eosinophilic esophagitis by utilizing spectral information. BioMed Central 2011-03-30 /pmc/articles/PMC3073213/ /pubmed/21489190 http://dx.doi.org/10.1186/1746-1596-6-S1-S2 Text en Copyright ©2011 Bautista and Yagi; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Bautista, Pinky A
Yagi, Yukako
Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging
title Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging
title_full Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging
title_fullStr Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging
title_full_unstemmed Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging
title_short Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging
title_sort localization of eosinophilic esophagitis from h&e stained images using multispectral imaging
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3073213/
https://www.ncbi.nlm.nih.gov/pubmed/21489190
http://dx.doi.org/10.1186/1746-1596-6-S1-S2
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