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Building of a composite virtual slide from contiguous tissue samples
BACKGROUND: Currently available microscope slide scanners produce whole slide images at various resolutions from histological sections. Nevertheless, acquisition area and so visualization of large tissue samples are limited by the standardized size of glass slides, used daily in pathology department...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4305979/ https://www.ncbi.nlm.nih.gov/pubmed/25565295 http://dx.doi.org/10.1186/1746-1596-9-S1-S9 |
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author | Plancoulaine, Benoît Oger, Myriam Elie, Nicolas Belhomme, Philippe Herlin, Paulette Nasri, Abir Augé, Célia Brécin, Mylène Marnay, Jacques Bor-Angelier, Catherine |
author_facet | Plancoulaine, Benoît Oger, Myriam Elie, Nicolas Belhomme, Philippe Herlin, Paulette Nasri, Abir Augé, Célia Brécin, Mylène Marnay, Jacques Bor-Angelier, Catherine |
author_sort | Plancoulaine, Benoît |
collection | PubMed |
description | BACKGROUND: Currently available microscope slide scanners produce whole slide images at various resolutions from histological sections. Nevertheless, acquisition area and so visualization of large tissue samples are limited by the standardized size of glass slides, used daily in pathology departments. The proposed solution has been developed to build composite virtual slides from images of large tumor fragments. MATERIALS AND METHODS: Images of HES or immunostained histological sections of carefully labeled fragments from a representative slice of breast carcinoma were acquired with a digital slide scanner at a magnification of 20×. The tiling program involves three steps: the straightening of tissue fragment images using polynomial interpolation method, and the building and assembling of strips of contiguous tissue sample whole slide images in × and y directions. The final image is saved in a pyramidal BigTiff file format. The program has been tested on several tumor slices. A correlation quality control has been done on five images artificially cut. RESULTS: Sixty tumor slices from twenty surgical specimens, cut into two to twenty six pieces, were reconstructed. A median of 98.71% is obtained by computing the correlation coefficients between native and reconstructed images for quality control. CONCLUSIONS: The proposed method is efficient and able to adapt itself to daily work conditions of classical pathology laboratories. |
format | Online Article Text |
id | pubmed-4305979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43059792015-02-12 Building of a composite virtual slide from contiguous tissue samples Plancoulaine, Benoît Oger, Myriam Elie, Nicolas Belhomme, Philippe Herlin, Paulette Nasri, Abir Augé, Célia Brécin, Mylène Marnay, Jacques Bor-Angelier, Catherine Diagn Pathol Proceedings BACKGROUND: Currently available microscope slide scanners produce whole slide images at various resolutions from histological sections. Nevertheless, acquisition area and so visualization of large tissue samples are limited by the standardized size of glass slides, used daily in pathology departments. The proposed solution has been developed to build composite virtual slides from images of large tumor fragments. MATERIALS AND METHODS: Images of HES or immunostained histological sections of carefully labeled fragments from a representative slice of breast carcinoma were acquired with a digital slide scanner at a magnification of 20×. The tiling program involves three steps: the straightening of tissue fragment images using polynomial interpolation method, and the building and assembling of strips of contiguous tissue sample whole slide images in × and y directions. The final image is saved in a pyramidal BigTiff file format. The program has been tested on several tumor slices. A correlation quality control has been done on five images artificially cut. RESULTS: Sixty tumor slices from twenty surgical specimens, cut into two to twenty six pieces, were reconstructed. A median of 98.71% is obtained by computing the correlation coefficients between native and reconstructed images for quality control. CONCLUSIONS: The proposed method is efficient and able to adapt itself to daily work conditions of classical pathology laboratories. BioMed Central 2014-12-19 /pmc/articles/PMC4305979/ /pubmed/25565295 http://dx.doi.org/10.1186/1746-1596-9-S1-S9 Text en Copyright © 2014 Plancoulaine et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Proceedings Plancoulaine, Benoît Oger, Myriam Elie, Nicolas Belhomme, Philippe Herlin, Paulette Nasri, Abir Augé, Célia Brécin, Mylène Marnay, Jacques Bor-Angelier, Catherine Building of a composite virtual slide from contiguous tissue samples |
title | Building of a composite virtual slide from contiguous tissue samples |
title_full | Building of a composite virtual slide from contiguous tissue samples |
title_fullStr | Building of a composite virtual slide from contiguous tissue samples |
title_full_unstemmed | Building of a composite virtual slide from contiguous tissue samples |
title_short | Building of a composite virtual slide from contiguous tissue samples |
title_sort | building of a composite virtual slide from contiguous tissue samples |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4305979/ https://www.ncbi.nlm.nih.gov/pubmed/25565295 http://dx.doi.org/10.1186/1746-1596-9-S1-S9 |
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