Literature DB >> 17333172

Quantification of uncultured microorganisms by fluorescence microscopy and digital image analysis.

Holger Daims1, Michael Wagner.   

Abstract

Traditional cultivation-based methods to quantify microbial abundance are not suitable for analyses of microbial communities in environmental or medical samples, which consist mainly of uncultured microorganisms. Recently, different cultivation-independent quantification approaches have been developed to overcome this problem. Some of these techniques use specific fluorescence markers, for example ribosomal ribonucleic acid targeted oligonucleotide probes, to label the respective target organisms. Subsequently, the detected cells are visualized by fluorescence microscopy and are quantified by direct visual cell counting or by digital image analysis. This article provides an overview of these methods and some of their applications with emphasis on (semi-)automated image analysis solutions.

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Year:  2007        PMID: 17333172     DOI: 10.1007/s00253-007-0886-z

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  24 in total

1.  Biofilm image reconstruction for assessing structural parameters.

Authors:  Ryan Renslow; Zbigniew Lewandowski; Haluk Beyenal
Journal:  Biotechnol Bioeng       Date:  2011-01-28       Impact factor: 4.530

Review 2.  Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment: a review.

Authors:  J C Costa; D P Mesquita; A L Amaral; M M Alves; E C Ferreira
Journal:  Environ Sci Pollut Res Int       Date:  2013-05-29       Impact factor: 4.223

3.  Role of prokaryotic biomasses and activities in carbon and phosphorus cycles at a coastal, thermohaline front and in offshore waters (Gulf of Manfredonia, Southern Adriatic Sea).

Authors:  L S Monticelli; G Caruso; F Decembrini; C Caroppo; F Fiesoletti
Journal:  Microb Ecol       Date:  2014-01-09       Impact factor: 4.552

4.  CMEIAS color segmentation: an improved computing technology to process color images for quantitative microbial ecology studies at single-cell resolution.

Authors:  Colin A Gross; Chandan K Reddy; Frank B Dazzo
Journal:  Microb Ecol       Date:  2009-12-19       Impact factor: 4.552

5.  Accuracy of biovolume formulas for CMEIAS computer-assisted microscopy and body size analysis of morphologically diverse microbial populations and communities.

Authors:  Ingrid Folland; Dominic Trione; Frank Dazzo
Journal:  Microb Ecol       Date:  2014-04-25       Impact factor: 4.552

Review 6.  Pathogenesis of mucosal biofilm infections: challenges and progress.

Authors:  Anna Dongari-Bagtzoglou
Journal:  Expert Rev Anti Infect Ther       Date:  2008-04       Impact factor: 5.091

7.  Agreement, precision, and accuracy of epifluorescence microscopy methods for enumeration of total bacterial numbers.

Authors:  Eun-Young Seo; Tae-Seok Ahn; Young-Gun Zo
Journal:  Appl Environ Microbiol       Date:  2010-01-22       Impact factor: 4.792

8.  New methods for analysis of spatial distribution and coaggregation of microbial populations in complex biofilms.

Authors:  Robert Almstrand; Holger Daims; Frank Persson; Fred Sörensson; Malte Hermansson
Journal:  Appl Environ Microbiol       Date:  2013-07-26       Impact factor: 4.792

9.  Depletion of unwanted nucleic acid templates by selective cleavage: LNAzymes, catalytically active oligonucleotides containing locked nucleic acids, open a new window for detecting rare microbial community members.

Authors:  Jan Dolinsek; Christiane Dorninger; Ilias Lagkouvardos; Michael Wagner; Holger Daims
Journal:  Appl Environ Microbiol       Date:  2012-12-21       Impact factor: 4.792

10.  Automated quantification and sizing of unbranched filamentous cyanobacteria by model-based object-oriented image analysis.

Authors:  Michael Zeder; Silke Van den Wyngaert; Oliver Köster; Kathrin M Felder; Jakob Pernthaler
Journal:  Appl Environ Microbiol       Date:  2010-01-04       Impact factor: 4.792

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