2017
DOI: 10.1101/181495
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Fast and Simple Tool for the Quantification of Biofilm-Embedded Cells Sub-Populations from Fluorescent Microscopic Images

Abstract: 27Fluorescent staining is a common tool for both quantitative and qualitative assessment of pro-and 28 eukaryotic cells sub-population fractions by using microscopy and flow cytometry. However, direct cell 29 counting by flow cytometry is often limited, for example when working with cells rigidly adhered 30 either to each other or to external surfaces like in bacterial biofilms or adherent cell lines and tissue 31samples. An alternative approach is provided by using fluorescent microscopy and confocal laser 32… Show more

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Cited by 9 publications
(5 citation statements)
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“…1.0 software with the procedure developed by Bogachev et al . (). Prior to analysis, nonhomogenous colour distribution of obtained images in the studied colour channels was resolved by preliminary image colour normalization using GNU Image manipulation program (GIMP 2.8).…”
Section: Methodsmentioning
confidence: 97%
“…1.0 software with the procedure developed by Bogachev et al . (). Prior to analysis, nonhomogenous colour distribution of obtained images in the studied colour channels was resolved by preliminary image colour normalization using GNU Image manipulation program (GIMP 2.8).…”
Section: Methodsmentioning
confidence: 97%
“…The biofilms were imaged with confocal laser scanning microscopy (CLSM; A1R, Nikon, Tokyo, Japan) and biofilm thickness quantified using ImageJ (NIH, Bethesda, MD) by referencing at least 4 different images per condition. The proportions of live and dead bacteria were also quantified using BioFilmAnalyzer version 1.0 (https://bitbucket.org/rogex/biofilmanalyzer/downloads/) by counting fluorescence‐specific pixels in digital fluorescent images. Five different images were selected for analysis per condition.…”
Section: Methodsmentioning
confidence: 99%
“…The biofilm was three-dimensionally reconstructed using NIS Elements microscopy imaging software and quantified. The proportions of live and dead bacteria were also quantified using BioFilmAnalyzer v.1.0 (https://bitbucket.org/rogex/biofilmanalyzer/downloads/) 22 by counting fluorescence specific pixels in digital fluorescent images. Four different images per condition were selected for analysis.…”
Section: Quantitative Analysis By Confocal Laser Scanning Microscopy mentioning
confidence: 99%