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Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images

Fluorescent staining is a common tool for both quantitative and qualitative assessment of pro- and eukaryotic cells sub-population fractions by using microscopy and flow cytometry. However, direct cell counting by flow cytometry is often limited, for example when working with cells rigidly adhered e...

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Autores principales: Bogachev, Mikhail I., Volkov, Vladimir Yu, Markelov, Oleg A., Trizna, Elena Yu, Baydamshina, Diana R., Melnikov, Vladislav, Murtazina, Regina R., Zelenikhin, Pavel V., Sharafutdinov, Irshad S., Kayumov, Airat R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5929543/
https://www.ncbi.nlm.nih.gov/pubmed/29715298
http://dx.doi.org/10.1371/journal.pone.0193267
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author Bogachev, Mikhail I.
Volkov, Vladimir Yu
Markelov, Oleg A.
Trizna, Elena Yu
Baydamshina, Diana R.
Melnikov, Vladislav
Murtazina, Regina R.
Zelenikhin, Pavel V.
Sharafutdinov, Irshad S.
Kayumov, Airat R.
author_facet Bogachev, Mikhail I.
Volkov, Vladimir Yu
Markelov, Oleg A.
Trizna, Elena Yu
Baydamshina, Diana R.
Melnikov, Vladislav
Murtazina, Regina R.
Zelenikhin, Pavel V.
Sharafutdinov, Irshad S.
Kayumov, Airat R.
author_sort Bogachev, Mikhail I.
collection PubMed
description Fluorescent staining is a common tool for both quantitative and qualitative assessment of pro- and eukaryotic cells sub-population fractions by using microscopy and flow cytometry. However, direct cell counting by flow cytometry is often limited, for example when working with cells rigidly adhered either to each other or to external surfaces like bacterial biofilms or adherent cell lines and tissue samples. An alternative approach is provided by using fluorescent microscopy and confocal laser scanning microscopy (CLSM), which enables the evaluation of fractions of cells subpopulations in a given sample. For the quantitative assessment of cell fractions in microphotographs, we suggest a simple two-step algorithm that combines single cells selection and the statistical analysis. To facilitate the first step, we suggest a simple procedure that supports finding the balance between the detection threshold and the typical size of single cells based on objective cell size distribution analysis. Based on a series of experimental measurements performed on bacterial and eukaryotic cells under various conditions, we show explicitly that the suggested approach effectively accounts for the fractions of different cell sub-populations (like the live/dead staining in our samples) in all studied cases that are in good agreement with manual cell counting on microphotographs and flow cytometry data. This algorithm is implemented as a simple software tool that includes an intuitive and user-friendly graphical interface for the initial adjustment of algorithm parameters to the microphotographs analysis as well as for the sequential analysis of homogeneous series of similar microscopic images without further user intervention. The software tool entitled BioFilmAnalyzer is freely available online at https://bitbucket.org/rogex/biofilmanalyzer/downloads/.
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spelling pubmed-59295432018-05-11 Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images Bogachev, Mikhail I. Volkov, Vladimir Yu Markelov, Oleg A. Trizna, Elena Yu Baydamshina, Diana R. Melnikov, Vladislav Murtazina, Regina R. Zelenikhin, Pavel V. Sharafutdinov, Irshad S. Kayumov, Airat R. PLoS One Research Article Fluorescent staining is a common tool for both quantitative and qualitative assessment of pro- and eukaryotic cells sub-population fractions by using microscopy and flow cytometry. However, direct cell counting by flow cytometry is often limited, for example when working with cells rigidly adhered either to each other or to external surfaces like bacterial biofilms or adherent cell lines and tissue samples. An alternative approach is provided by using fluorescent microscopy and confocal laser scanning microscopy (CLSM), which enables the evaluation of fractions of cells subpopulations in a given sample. For the quantitative assessment of cell fractions in microphotographs, we suggest a simple two-step algorithm that combines single cells selection and the statistical analysis. To facilitate the first step, we suggest a simple procedure that supports finding the balance between the detection threshold and the typical size of single cells based on objective cell size distribution analysis. Based on a series of experimental measurements performed on bacterial and eukaryotic cells under various conditions, we show explicitly that the suggested approach effectively accounts for the fractions of different cell sub-populations (like the live/dead staining in our samples) in all studied cases that are in good agreement with manual cell counting on microphotographs and flow cytometry data. This algorithm is implemented as a simple software tool that includes an intuitive and user-friendly graphical interface for the initial adjustment of algorithm parameters to the microphotographs analysis as well as for the sequential analysis of homogeneous series of similar microscopic images without further user intervention. The software tool entitled BioFilmAnalyzer is freely available online at https://bitbucket.org/rogex/biofilmanalyzer/downloads/. Public Library of Science 2018-05-01 /pmc/articles/PMC5929543/ /pubmed/29715298 http://dx.doi.org/10.1371/journal.pone.0193267 Text en © 2018 Bogachev et al 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 author and source are credited.
spellingShingle Research Article
Bogachev, Mikhail I.
Volkov, Vladimir Yu
Markelov, Oleg A.
Trizna, Elena Yu
Baydamshina, Diana R.
Melnikov, Vladislav
Murtazina, Regina R.
Zelenikhin, Pavel V.
Sharafutdinov, Irshad S.
Kayumov, Airat R.
Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images
title Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images
title_full Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images
title_fullStr Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images
title_full_unstemmed Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images
title_short Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images
title_sort fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5929543/
https://www.ncbi.nlm.nih.gov/pubmed/29715298
http://dx.doi.org/10.1371/journal.pone.0193267
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