Literature DB >> 24243075

Flow cytometric discrimination of phytoplankton classes by fluorescence emission and excitation properties.

J W Hofstraat1, M E de Vreeze, W J van Zeijl, L Peperzak, J C Peeters, H W Balfoort.   

Abstract

The ataxonomic discrimination of phytoplankton species on the basis of fluorescence data obtained by multiwavelength excitation in combination with wavelength selective detection in flow cytometry is demonstrated. The discrimination is based on differences in pigment composition between the species, which are reflected in their spectral characteristics. Classification can be done both by making use of the absolute fluorescence intensities and with fluorescence parameter ratios. The latter approach has the advantage that size-related effects and instrument fluctuations are reduced to a large extent. Photoadaptation does influence the absolute as well as the ratioed parameters that are obtained but does not impede the classification into major ataxonomic groups.

Year:  1991        PMID: 24243075     DOI: 10.1007/BF00865249

Source DB:  PubMed          Journal:  J Fluoresc        ISSN: 1053-0509            Impact factor:   2.217


  7 in total

1.  Flow cytometric discrimination of phytoplankton classes by fluorescence emission and excitation properties.

Authors:  J W Hofstraat; M E de Vreeze; W J van Zeijl; L Peperzak; J C Peeters; H W Balfoort
Journal:  J Fluoresc       Date:  1991-12       Impact factor: 2.217

2.  Overview of flow cytometry and image analysis in biological oceanography and limnology.

Authors:  L Legendre; C M Yentsch
Journal:  Cytometry       Date:  1989-09

3.  Optical plankton analyser: a flow cytometer for plankton analysis, II: Specifications.

Authors:  G B Dubelaar; A C Groenewegen; W Stokdijk; G J van den Engh; J W Visser
Journal:  Cytometry       Date:  1989-09

4.  Flow cytometry and phytoplankton.

Authors:  D A Phinney; T L Cucci
Journal:  Cytometry       Date:  1989-09

5.  Optical plankton analyser: a flow cytometer for plankton analysis, I: Design considerations.

Authors:  J C Peeters; G B Dubelaar; J Ringelberg; J W Visser
Journal:  Cytometry       Date:  1989-09

6.  Discrimination of eukaryotic phytoplankton cell types from light scatter and autofluorescence properties measured by flow cytometry.

Authors:  R J Olson; E R Zettler; O K Anderson
Journal:  Cytometry       Date:  1989-09

7.  Photoadaptation in marine phytoplankton : changes in spectral absorption and excitation of chlorophyll a fluorescence.

Authors:  A Neori; O Holm-Hansen; B G Mitchell; D A Kiefer
Journal:  Plant Physiol       Date:  1984-10       Impact factor: 8.340

  7 in total
  3 in total

1.  Identification of phytoplankton from flow cytometry data by using radial basis function neural networks.

Authors:  M F Wilkins; L Boddy; C W Morris; R R Jonker
Journal:  Appl Environ Microbiol       Date:  1999-10       Impact factor: 4.792

2.  Flow cytometric discrimination of phytoplankton classes by fluorescence emission and excitation properties.

Authors:  J W Hofstraat; M E de Vreeze; W J van Zeijl; L Peperzak; J C Peeters; H W Balfoort
Journal:  J Fluoresc       Date:  1991-12       Impact factor: 2.217

3.  Microplate-based high throughput screening procedure for the isolation of lipid-rich marine microalgae.

Authors:  Hugo Pereira; Luísa Barreira; André Mozes; Cláudia Florindo; Cristina Polo; Catarina V Duarte; Luísa Custódio; João Varela
Journal:  Biotechnol Biofuels       Date:  2011-12-22       Impact factor: 6.040

  3 in total

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