Literature DB >> 14197902

ESTIMATION OF THE NUMBER OF INFECTIOUS BACTERIAL OR VIRAL PARTICLES BY THE DILUTION METHOD.

S J SELIGMAN, M R MICKEY.   

Abstract

Seligman, Stephen J. (University of California, Los Angeles), and M. Ray Mickey. Estimation of the number of infectious bacterial or viral particles by the dilution method. J. Bacteriol. 88:31-36. 1964.-For viral or bacterial systems in which discrete foci of infection are not obtainable, it is possible to obtain an estimate of the number of infectious particles by use of the quantal response if the assay system is such that one infectious particle can elicit the response. Unfortunately, the maximum likelihood estimate is difficult to calculate, but, by the use of a modification of Haldane's approximation, it is possible to construct a table which facilitates calculation of both the average number of infectious particles and its relative error. Additional advantages of the method are that the number of test units per dilution can be varied, the dilutions need not bear any fixed relation to each other, and the one-particle hypothesis can be readily tested.

Entities:  

Keywords:  BACTERIOLOGICAL TECHNICS; BIOLOGICAL ASSAY; EXPERIMENTAL LAB STUDY; VIRUSES

Mesh:

Year:  1964        PMID: 14197902      PMCID: PMC277252          DOI: 10.1128/jb.88.1.31-36.1964

Source DB:  PubMed          Journal:  J Bacteriol        ISSN: 0021-9193            Impact factor:   3.490


  5 in total

1.  Quantitative determination of infectious units of measles virus by counts of immunofluorescent foci.

Authors:  F RAPP; S J SELIGMAN; L B JAROSS; I GORDON
Journal:  Proc Soc Exp Biol Med       Date:  1959-06

2.  Application of the most probable number method for estimating concentrations of animal viruses by the tissue culture technique.

Authors:  S L CHANG; G BERG; K A BUSCH; R E STEVENSON; N A CLARKE; P W KABLER
Journal:  Virology       Date:  1958-08       Impact factor: 3.616

3.  Tumor viruses.

Authors:  J W BEARD; E A ECKERT; D G SHARP
Journal:  Adv Virus Res       Date:  1955       Impact factor: 9.937

4.  Application of Statistics to Problems in Bacteriology: I. A Means of Determining Bacterial Population by the Dilution Method.

Authors:  H O Halvorson; N R Ziegler
Journal:  J Bacteriol       Date:  1933-02       Impact factor: 3.490

5.  Estimation of bacterial densities by means of the "most probable number".

Authors:  W G COCHRAN
Journal:  Biometrics       Date:  1950-06       Impact factor: 2.571

  5 in total
  1 in total

1.  Quantitation of adsorption of rhizobia in low numbers to small legume roots.

Authors:  G Caetano Anollés; G Favelukes
Journal:  Appl Environ Microbiol       Date:  1986-08       Impact factor: 4.792

  1 in total

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