A simple viability analysis for unicellular cyanobacteria using a new autofluorescence assay, automated microscopy, and ImageJ
<p>Abstract</p> <p>Background</p> <p>Currently established methods to identify viable and non-viable cells of cyanobacteria are either time-consuming (eg. plating) or preparation-intensive (eg. fluorescent staining). In this paper we present a new and fast viability ass...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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BMC
2011-11-01
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Series: | BMC Biotechnology |
Online Access: | http://www.biomedcentral.com/1472-6750/11/118 |
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author | Schulze Katja López Diana A Tillich Ulrich M Frohme Marcus |
author_facet | Schulze Katja López Diana A Tillich Ulrich M Frohme Marcus |
author_sort | Schulze Katja |
collection | DOAJ |
description | <p>Abstract</p> <p>Background</p> <p>Currently established methods to identify viable and non-viable cells of cyanobacteria are either time-consuming (eg. plating) or preparation-intensive (eg. fluorescent staining). In this paper we present a new and fast viability assay for unicellular cyanobacteria, which uses red chlorophyll fluorescence and an unspecific green autofluorescence for the differentiation of viable and non-viable cells without the need of sample preparation.</p> <p>Results</p> <p>The viability assay for unicellular cyanobacteria using red and green autofluorescence was established and validated for the model organism <it>Synechocystis </it>sp. PCC 6803. Both autofluorescence signals could be observed simultaneously allowing a direct classification of viable and non-viable cells. The results were confirmed by plating/colony count, absorption spectra and chlorophyll measurements. The use of an automated fluorescence microscope and a novel ImageJ based image analysis plugin allow a semi-automated analysis.</p> <p>Conclusions</p> <p>The new method simplifies the process of viability analysis and allows a quick and accurate analysis. Furthermore results indicate that a combination of the new assay with absorption spectra or chlorophyll concentration measurements allows the estimation of the vitality of cells.</p> |
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institution | Directory Open Access Journal |
issn | 1472-6750 |
language | English |
last_indexed | 2024-12-18T06:45:21Z |
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spelling | doaj.art-179974c3328b4e558f346021603ab0052022-12-21T21:17:30ZengBMCBMC Biotechnology1472-67502011-11-0111111810.1186/1472-6750-11-118A simple viability analysis for unicellular cyanobacteria using a new autofluorescence assay, automated microscopy, and ImageJSchulze KatjaLópez Diana ATillich Ulrich MFrohme Marcus<p>Abstract</p> <p>Background</p> <p>Currently established methods to identify viable and non-viable cells of cyanobacteria are either time-consuming (eg. plating) or preparation-intensive (eg. fluorescent staining). In this paper we present a new and fast viability assay for unicellular cyanobacteria, which uses red chlorophyll fluorescence and an unspecific green autofluorescence for the differentiation of viable and non-viable cells without the need of sample preparation.</p> <p>Results</p> <p>The viability assay for unicellular cyanobacteria using red and green autofluorescence was established and validated for the model organism <it>Synechocystis </it>sp. PCC 6803. Both autofluorescence signals could be observed simultaneously allowing a direct classification of viable and non-viable cells. The results were confirmed by plating/colony count, absorption spectra and chlorophyll measurements. The use of an automated fluorescence microscope and a novel ImageJ based image analysis plugin allow a semi-automated analysis.</p> <p>Conclusions</p> <p>The new method simplifies the process of viability analysis and allows a quick and accurate analysis. Furthermore results indicate that a combination of the new assay with absorption spectra or chlorophyll concentration measurements allows the estimation of the vitality of cells.</p>http://www.biomedcentral.com/1472-6750/11/118 |
spellingShingle | Schulze Katja López Diana A Tillich Ulrich M Frohme Marcus A simple viability analysis for unicellular cyanobacteria using a new autofluorescence assay, automated microscopy, and ImageJ BMC Biotechnology |
title | A simple viability analysis for unicellular cyanobacteria using a new autofluorescence assay, automated microscopy, and ImageJ |
title_full | A simple viability analysis for unicellular cyanobacteria using a new autofluorescence assay, automated microscopy, and ImageJ |
title_fullStr | A simple viability analysis for unicellular cyanobacteria using a new autofluorescence assay, automated microscopy, and ImageJ |
title_full_unstemmed | A simple viability analysis for unicellular cyanobacteria using a new autofluorescence assay, automated microscopy, and ImageJ |
title_short | A simple viability analysis for unicellular cyanobacteria using a new autofluorescence assay, automated microscopy, and ImageJ |
title_sort | simple viability analysis for unicellular cyanobacteria using a new autofluorescence assay automated microscopy and imagej |
url | http://www.biomedcentral.com/1472-6750/11/118 |
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