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Tissue microarray design and construction for scientific, industrial and diagnostic use
CONTEXT: In 2013 the high throughput technology known as Tissue Micro Array (TMA) will be fifteen years old. Its elements (design, construction and analysis) are intuitive and the core histopathology technique is unsophisticated, which may be a reason why has eluded a rigorous scientific scrutiny. T...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3551499/ https://www.ncbi.nlm.nih.gov/pubmed/23372983 http://dx.doi.org/10.4103/2153-3539.104904 |
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author | Pilla, Daniela Bosisio, Francesca M. Marotta, Roberto Faggi, Stefano Forlani, Paolo Falavigna, Maurizio Biunno, Ida Martella, Emanuele De Blasio, Pasquale Borghesi, Simone Cattoretti, Giorgio |
author_facet | Pilla, Daniela Bosisio, Francesca M. Marotta, Roberto Faggi, Stefano Forlani, Paolo Falavigna, Maurizio Biunno, Ida Martella, Emanuele De Blasio, Pasquale Borghesi, Simone Cattoretti, Giorgio |
author_sort | Pilla, Daniela |
collection | PubMed |
description | CONTEXT: In 2013 the high throughput technology known as Tissue Micro Array (TMA) will be fifteen years old. Its elements (design, construction and analysis) are intuitive and the core histopathology technique is unsophisticated, which may be a reason why has eluded a rigorous scientific scrutiny. The source of errors, particularly in specimen identification and how to control for it is unreported. Formal validation of the accuracy of segmenting (also known as de-arraying) hundreds of samples, pairing with the sample data is lacking. AIMS: We wanted to address these issues in order to bring the technique to recognized standards of quality in TMA use for research, diagnostics and industrial purposes. RESULTS: We systematically addressed the sources of error and used barcode-driven data input throughout the whole process including matching the design with a TMA virtual image and segmenting that image back to individual cases, together with the associated data. In addition we demonstrate on mathematical grounds that a TMA design, when superimposed onto the corresponding whole slide image, validates on each and every sample the correspondence between the image and patient's data. CONCLUSIONS: High throughput use of the TMA technology is a safe and efficient method for research, diagnosis and industrial use if all sources of errors are identified and addressed. |
format | Online Article Text |
id | pubmed-3551499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-35514992013-01-31 Tissue microarray design and construction for scientific, industrial and diagnostic use Pilla, Daniela Bosisio, Francesca M. Marotta, Roberto Faggi, Stefano Forlani, Paolo Falavigna, Maurizio Biunno, Ida Martella, Emanuele De Blasio, Pasquale Borghesi, Simone Cattoretti, Giorgio J Pathol Inform Original Article CONTEXT: In 2013 the high throughput technology known as Tissue Micro Array (TMA) will be fifteen years old. Its elements (design, construction and analysis) are intuitive and the core histopathology technique is unsophisticated, which may be a reason why has eluded a rigorous scientific scrutiny. The source of errors, particularly in specimen identification and how to control for it is unreported. Formal validation of the accuracy of segmenting (also known as de-arraying) hundreds of samples, pairing with the sample data is lacking. AIMS: We wanted to address these issues in order to bring the technique to recognized standards of quality in TMA use for research, diagnostics and industrial purposes. RESULTS: We systematically addressed the sources of error and used barcode-driven data input throughout the whole process including matching the design with a TMA virtual image and segmenting that image back to individual cases, together with the associated data. In addition we demonstrate on mathematical grounds that a TMA design, when superimposed onto the corresponding whole slide image, validates on each and every sample the correspondence between the image and patient's data. CONCLUSIONS: High throughput use of the TMA technology is a safe and efficient method for research, diagnosis and industrial use if all sources of errors are identified and addressed. Medknow Publications & Media Pvt Ltd 2012-12-20 /pmc/articles/PMC3551499/ /pubmed/23372983 http://dx.doi.org/10.4103/2153-3539.104904 Text en Copyright: © 2012 Pilla D http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Original Article Pilla, Daniela Bosisio, Francesca M. Marotta, Roberto Faggi, Stefano Forlani, Paolo Falavigna, Maurizio Biunno, Ida Martella, Emanuele De Blasio, Pasquale Borghesi, Simone Cattoretti, Giorgio Tissue microarray design and construction for scientific, industrial and diagnostic use |
title | Tissue microarray design and construction for scientific, industrial and diagnostic use |
title_full | Tissue microarray design and construction for scientific, industrial and diagnostic use |
title_fullStr | Tissue microarray design and construction for scientific, industrial and diagnostic use |
title_full_unstemmed | Tissue microarray design and construction for scientific, industrial and diagnostic use |
title_short | Tissue microarray design and construction for scientific, industrial and diagnostic use |
title_sort | tissue microarray design and construction for scientific, industrial and diagnostic use |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3551499/ https://www.ncbi.nlm.nih.gov/pubmed/23372983 http://dx.doi.org/10.4103/2153-3539.104904 |
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