Literature DB >> 1610183

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

C L Viles1, M E Sieracki.   

Abstract

Accurate measurement of the biomass and size distribution of picoplankton cells (0.2 to 2.0 microns) is paramount in characterizing their contribution to the oceanic food web and global biogeochemical cycling. Image-analyzed fluorescence microscopy, usually based on video camera technology, allows detailed measurements of individual cells to be taken. The application of an imaging system employing a cooled, slow-scan charge-coupled device (CCD) camera to automated counting and sizing of individual picoplankton cells from natural marine samples is described. A slow-scan CCD-based camera was compared to a video camera and was superior for detecting and sizing very small, dim particles such as fluorochrome-stained bacteria. Several edge detection methods for accurately measuring picoplankton cells were evaluated. Standard fluorescent microspheres and a Sargasso Sea surface water picoplankton population were used in the evaluation. Global thresholding was inappropriate for these samples. Methods used previously in image analysis of nanoplankton cells (2 to 20 microns) also did not work well with the smaller picoplankton cells. A method combining an edge detector and an adaptive edge strength operator worked best for rapidly generating accurate cell sizes. A complete sample analysis of more than 1,000 cells averages about 50 min and yields size, shape, and fluorescence data for each cell. With this system, the entire size range of picoplankton can be counted and measured.

Entities:  

Mesh:

Year:  1992        PMID: 1610183      PMCID: PMC195288          DOI: 10.1128/aem.58.2.584-592.1992

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


  9 in total

1.  Automatic determination of bacterioplankton biomass by image analysis.

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

2.  Evaluation of automated threshold selection methods for accurately sizing microscopic fluorescent cells by image analysis.

Authors:  M E Sieracki; S E Reichenbach; K L Webb
Journal:  Appl Environ Microbiol       Date:  1989-11       Impact factor: 4.792

3.  Characterizing aquatic bacteria according to population, cell size, and apparent DNA content by flow cytometry.

Authors:  B R Robertson; D K Button
Journal:  Cytometry       Date:  1989-01

4.  Algorithm to estimate cell biovolume using image analyzed microscopy.

Authors:  M E Sieracki; C L Viles; K L Webb
Journal:  Cytometry       Date:  1989-09

5.  Sampling density and quantitative microscopy.

Authors:  I T Young
Journal:  Anal Quant Cytol Histol       Date:  1988-08       Impact factor: 0.302

6.  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

7.  Theory of edge detection.

Authors:  D Marr; E Hildreth
Journal:  Proc R Soc Lond B Biol Sci       Date:  1980-02-29

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

Authors:  M E Sieracki; P W Johnson; J M Sieburth
Journal:  Appl Environ Microbiol       Date:  1985-04       Impact factor: 4.792

9.  The use of a charge-coupled device for quantitative optical microscopy of biological structures.

Authors:  Y Hiraoka; J W Sedat; D A Agard
Journal:  Science       Date:  1987-10-02       Impact factor: 47.728

  9 in total
  16 in total

1.  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

2.  Whole-cell hybridization of Methanosarcina cells with two new oligonucleotide probes.

Authors:  A H Sørensen; V L Torsvik; T Torsvik; L K Poulsen; B K Ahring
Journal:  Appl Environ Microbiol       Date:  1997-08       Impact factor: 4.792

3.  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

4.  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

5.  Use of rRNA fluorescence in situ hybridization for measuring the activity of single cells in young and established biofilms.

Authors:  L K Poulsen; G Ballard; D A Stahl
Journal:  Appl Environ Microbiol       Date:  1993-05       Impact factor: 4.792

6.  Automated confocal laser scanning microscopy and semiautomated image processing for analysis of biofilms.

Authors:  M Kuehn; M Hausner; H J Bungartz; M Wagner; P A Wilderer; S Wuertz
Journal:  Appl Environ Microbiol       Date:  1998-11       Impact factor: 4.792

7.  Rapid determination of bacterial abundance, biovolume, morphology, and growth by neural network-based image analysis

Authors: 
Journal:  Appl Environ Microbiol       Date:  1998-09       Impact factor: 4.792

Review 8.  Quantification of the presence and activity of specific microorganisms in nature.

Authors:  J K Jansson; J I Prosser
Journal:  Mol Biotechnol       Date:  1997-04       Impact factor: 2.695

9.  Direct determination of carbon and nitrogen contents of natural bacterial assemblages in marine environments

Authors: 
Journal:  Appl Environ Microbiol       Date:  1998-09       Impact factor: 4.792

10.  Bacterial growth on surfaces: automated image analysis for quantification of growth rate-related parameters.

Authors:  S Moller; C S Kristensen; L K Poulsen; J M Carstensen; S Molin
Journal:  Appl Environ Microbiol       Date:  1995-02       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.