Literature DB >> 2408564

Detection, enumeration, and sizing of planktonic bacteria by image-analyzed epifluorescence microscopy.

M E Sieracki, P W Johnson, J M Sieburth.   

Abstract

Epifluorescence microscopy is now being widely used to characterize planktonic procaryote populations. The tedium and subjectivity of visual enumeration and sizing have been largely alleviated by our use of an image analysis system consisting of a modified Artek 810 image analyzer and an Olympus BHT-F epifluorescence microscope. This system digitizes the video image of autofluorescing or fluorochrome-stained cells in a microscope field. The digitized image can then be stored, edited, and analyzed for total count or individual cell size and shape parameters. Results can be printed as raw data, statistical summaries, or histograms. By using a stain concentration of 5 micrograms of 4'6-diamidino-2-phenylindole per ml of sample and the optimal sensitivity level and mode, counts by image analysis of natural bacterial populations from a variety of habitats were found to be statistically equal to standard visual counts. Although the time required to prepare slides, focus, and change fields is the same for visual and image analysis methods, the time and effort required for counting is eliminated since image analysis is instantaneous. The system has been satisfactorily tested at sea. Histograms of cell silhouette areas indicate that rapid and accurate estimates of bacterial biovolume and biomass will be possible with this system.

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Year:  1985        PMID: 2408564      PMCID: PMC238449          DOI: 10.1128/aem.49.4.799-810.1985

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  18 in total

1.  Identification and enumeration of marine chroococcoid cyanobacteria by immunofluorescence.

Authors:  L Campbell; E J Carpenter; V J Iacono
Journal:  Appl Environ Microbiol       Date:  1983-09       Impact factor: 4.792

2.  Frequency of dividing cells as an estimator of bacterial productivity.

Authors:  S Y Newell; R R Christian
Journal:  Appl Environ Microbiol       Date:  1981-07       Impact factor: 4.792

3.  Diversity dynamics of marine bacteria studied by immunofluorescent staining on membrane filters.

Authors:  A B Dahle; M Laake
Journal:  Appl Environ Microbiol       Date:  1982-01       Impact factor: 4.792

4.  Automatic counting of microscopic particles.

Authors:  W H WALTON
Journal:  Nature       Date:  1952-03-29       Impact factor: 49.962

5.  Frequency of dividing cells, a new approach to the determination of bacterial growth rates in aquatic environments.

Authors:  A Hagström; U Larsson; P Hörstedt; S Normark
Journal:  Appl Environ Microbiol       Date:  1979-05       Impact factor: 4.792

6.  Study of Developmental Stages of Methylosinus trichosporium with the Aid of Fluorescent-Antibody Staining Techniques.

Authors:  W M Reed; P R Dugan
Journal:  Appl Environ Microbiol       Date:  1979-12       Impact factor: 4.792

7.  Use of hoechst dyes 33258 and 33342 for enumeration of attached and planktonic bacteria.

Authors:  J H Paul
Journal:  Appl Environ Microbiol       Date:  1982-04       Impact factor: 4.792

8.  Use of nuclepore filters for counting bacteria by fluorescence microscopy.

Authors:  J E Hobbie; R J Daley; S Jasper
Journal:  Appl Environ Microbiol       Date:  1977-05       Impact factor: 4.792

9.  Automatic analysis of blood cells.

Authors:  M Ingram; K Preston
Journal:  Sci Am       Date:  1970-11       Impact factor: 2.142

10.  Statistical analysis of the direct count method for enumerating bacteria.

Authors:  D Kirchman; J Sigda; R Kapuscinski; R Mitchell
Journal:  Appl Environ Microbiol       Date:  1982-08       Impact factor: 4.792

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  28 in total

1.  Determination of total protein content of bacterial cells by SYPRO staining and flow cytometry.

Authors:  M V Zubkov; B M Fuchs; H Eilers; P H Burkill; R Amann
Journal:  Appl Environ Microbiol       Date:  1999-07       Impact factor: 4.792

2.  Flow cytometric analysis of 5-cyano-2,3-ditolyl tetrazolium chloride activity of marine bacterioplankton in dilution cultures.

Authors:  M E Sieracki; T L Cucci; J Nicinski
Journal:  Appl Environ Microbiol       Date:  1999-06       Impact factor: 4.792

3.  Automated enumeration of groups of marine picoplankton after fluorescence in situ hybridization.

Authors:  Jakob Pernthaler; Annelie Pernthaler; Rudolf Amann
Journal:  Appl Environ Microbiol       Date:  2003-05       Impact factor: 4.792

Review 4.  Fate of heterotrophic microbes in pelagic habitats: focus on populations.

Authors:  Jakob Pernthaler; Rudolf Amann
Journal:  Microbiol Mol Biol Rev       Date:  2005-09       Impact factor: 11.056

5.  Application of most-probable-number statistics to direct enumeration of microorganisms.

Authors:  D J Roser; H J Bavor; S A McKersie
Journal:  Appl Environ Microbiol       Date:  1987-06       Impact factor: 4.792

6.  Particle counter determination of bacterial biomass in seawater.

Authors:  K Kogure; I Koike
Journal:  Appl Environ Microbiol       Date:  1987-02       Impact factor: 4.792

7.  Automatic determination of bacterioplankton biomass by image analysis.

Authors:  P K Bjørnsen
Journal:  Appl Environ Microbiol       Date:  1986-06       Impact factor: 4.792

8.  Measurement of marine picoplankton cell size by using a cooled, charge-coupled device camera with image-analyzed fluorescence microscopy.

Authors:  C L Viles; M E Sieracki
Journal:  Appl Environ Microbiol       Date:  1992-02       Impact factor: 4.792

9.  Fully automatic determination of soil bacterium numbers, cell volumes, and frequencies of dividing cells by confocal laser scanning microscopy and image analysis.

Authors:  J Bloem; M Veninga; J Shepherd
Journal:  Appl Environ Microbiol       Date:  1995-03       Impact factor: 4.792

10.  In situ classification and image cytometry of pelagic bacteria from a high mountain lake (gossenkollesee, austria).

Authors:  J Pernthaler; A Alfreider; T Posch; S Andreatta; R Psenner
Journal:  Appl Environ Microbiol       Date:  1997-12       Impact factor: 4.792

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