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Quantitative Assessment of Ciliary Ultrastructure with the Use of Automatic Analysis: PCD Quant
The ciliary ultrastructure can be damaged in various situations. Such changes include primary defects found in primary ciliary dyskinesia (PCD) and secondary defects developing in secondary ciliary dyskinesia (SCD). PCD is a genetic disease resulting from impaired ciliary motility causing chronic di...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394936/ https://www.ncbi.nlm.nih.gov/pubmed/34441298 http://dx.doi.org/10.3390/diagnostics11081363 |
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author | Felšöová, Andrea Sloboda, Tibor Hudec, Lukáš Koblížek, Miroslav Pohunek, Petr Martinů, Vendula Varényiová, Žofia Kadlecová, Simona Uhlík, Jiří |
author_facet | Felšöová, Andrea Sloboda, Tibor Hudec, Lukáš Koblížek, Miroslav Pohunek, Petr Martinů, Vendula Varényiová, Žofia Kadlecová, Simona Uhlík, Jiří |
author_sort | Felšöová, Andrea |
collection | PubMed |
description | The ciliary ultrastructure can be damaged in various situations. Such changes include primary defects found in primary ciliary dyskinesia (PCD) and secondary defects developing in secondary ciliary dyskinesia (SCD). PCD is a genetic disease resulting from impaired ciliary motility causing chronic disease of the respiratory tract. SCD is an acquired condition that can be caused, for example, by respiratory infection or exposure to tobacco smoke. The diagnosis of these diseases is a complex process with many diagnostic methods, including the evaluation of ciliary ultrastructure using transmission electron microscopy (the golden standard of examination). Our goal was to create a program capable of automatic quantitative analysis of the ciliary ultrastructure, determining the ratio of primary and secondary defects, as well as analysis of the mutual orientation of cilia in the ciliary border. PCD Quant, a program developed for the automatic quantitative analysis of cilia, cannot yet be used as a stand-alone method for evaluation and provides limited assistance in classifying primary and secondary defect classes and evaluating central pair angle deviations. Nevertheless, we see great potential for the future in automatic analysis of the ciliary ultrastructure. |
format | Online Article Text |
id | pubmed-8394936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83949362021-08-28 Quantitative Assessment of Ciliary Ultrastructure with the Use of Automatic Analysis: PCD Quant Felšöová, Andrea Sloboda, Tibor Hudec, Lukáš Koblížek, Miroslav Pohunek, Petr Martinů, Vendula Varényiová, Žofia Kadlecová, Simona Uhlík, Jiří Diagnostics (Basel) Article The ciliary ultrastructure can be damaged in various situations. Such changes include primary defects found in primary ciliary dyskinesia (PCD) and secondary defects developing in secondary ciliary dyskinesia (SCD). PCD is a genetic disease resulting from impaired ciliary motility causing chronic disease of the respiratory tract. SCD is an acquired condition that can be caused, for example, by respiratory infection or exposure to tobacco smoke. The diagnosis of these diseases is a complex process with many diagnostic methods, including the evaluation of ciliary ultrastructure using transmission electron microscopy (the golden standard of examination). Our goal was to create a program capable of automatic quantitative analysis of the ciliary ultrastructure, determining the ratio of primary and secondary defects, as well as analysis of the mutual orientation of cilia in the ciliary border. PCD Quant, a program developed for the automatic quantitative analysis of cilia, cannot yet be used as a stand-alone method for evaluation and provides limited assistance in classifying primary and secondary defect classes and evaluating central pair angle deviations. Nevertheless, we see great potential for the future in automatic analysis of the ciliary ultrastructure. MDPI 2021-07-29 /pmc/articles/PMC8394936/ /pubmed/34441298 http://dx.doi.org/10.3390/diagnostics11081363 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Felšöová, Andrea Sloboda, Tibor Hudec, Lukáš Koblížek, Miroslav Pohunek, Petr Martinů, Vendula Varényiová, Žofia Kadlecová, Simona Uhlík, Jiří Quantitative Assessment of Ciliary Ultrastructure with the Use of Automatic Analysis: PCD Quant |
title | Quantitative Assessment of Ciliary Ultrastructure with the Use of Automatic Analysis: PCD Quant |
title_full | Quantitative Assessment of Ciliary Ultrastructure with the Use of Automatic Analysis: PCD Quant |
title_fullStr | Quantitative Assessment of Ciliary Ultrastructure with the Use of Automatic Analysis: PCD Quant |
title_full_unstemmed | Quantitative Assessment of Ciliary Ultrastructure with the Use of Automatic Analysis: PCD Quant |
title_short | Quantitative Assessment of Ciliary Ultrastructure with the Use of Automatic Analysis: PCD Quant |
title_sort | quantitative assessment of ciliary ultrastructure with the use of automatic analysis: pcd quant |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394936/ https://www.ncbi.nlm.nih.gov/pubmed/34441298 http://dx.doi.org/10.3390/diagnostics11081363 |
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