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

View ORCID ProfileMikhail I Bogachev, View ORCID ProfileOleg A Markelov, View ORCID ProfileElena Trizna, View ORCID ProfileDiana Baydamshina, View ORCID ProfilePavel Zelenikhin, Regina Murtazina, View ORCID ProfileAirat R Kayumov
doi: https://doi.org/10.1101/181495
Mikhail I Bogachev
1Biomedical Engineering Research Center, St. Petersburg Electrotechnical University, St. Petersburg, Russia
2Institute of Fundamental Medicine and Biology, Kazan Federal University, Russia
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Oleg A Markelov
1Biomedical Engineering Research Center, St. Petersburg Electrotechnical University, St. Petersburg, Russia
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Elena Trizna
2Institute of Fundamental Medicine and Biology, Kazan Federal University, Russia
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Diana Baydamshina
2Institute of Fundamental Medicine and Biology, Kazan Federal University, Russia
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Pavel Zelenikhin
2Institute of Fundamental Medicine and Biology, Kazan Federal University, Russia
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Regina Murtazina
2Institute of Fundamental Medicine and Biology, Kazan Federal University, Russia
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Airat R Kayumov
2Institute of Fundamental Medicine and Biology, Kazan Federal University, Russia
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  • For correspondence: kairatr@yandex.ru
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Abstract

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 in 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. To facilitate the quantitative assessment of cell fractions in microphotographs, we suggest a simple two-step algorithm that combines the cell selection based and the statistical approaches. Based on a series of experimental measurements performed on bacterial and eukaryotic cells under various measurement 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 microscopic imaging conditions 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 http://kpfu.ru/eng/strau/laboratories/molecular-genetics-of-microorganisms-lab/software/biofilmanalyzer-v10

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted August 29, 2017.
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Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images
Mikhail I Bogachev, Oleg A Markelov, Elena Trizna, Diana Baydamshina, Pavel Zelenikhin, Regina Murtazina, Airat R Kayumov
bioRxiv 181495; doi: https://doi.org/10.1101/181495
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Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images
Mikhail I Bogachev, Oleg A Markelov, Elena Trizna, Diana Baydamshina, Pavel Zelenikhin, Regina Murtazina, Airat R Kayumov
bioRxiv 181495; doi: https://doi.org/10.1101/181495

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