A computer program for the graphical and iterative fitting of probability density functions to biological data

Brassard, J.R.; Correia, Manning J.; Landolt, Jack P.

doi:10.1016/0010-468x(75)90024-0

Cited by 9 publications

(2 citation statements)

References 19 publications

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“…The software employed was developed and written by Brassard and Correia and implemented on a PDP 11/20 computer. 27,28 Additional details on data handling and the associated parameter optimization calculations are provided in the Appendix. Figure 4 shows an example of the data fitting results, where the stepped histogram is the noisecompensated experimental data and the continuous curve is the optimized fit by a linear combination of three gamma distributions.…”

Section: Decomposition Of the Fmf Datamentioning

confidence: 99%

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Analysis of fermentation processes using flow microfluorometry: Single‐parameter observations of batch bacterial growth

Fazel-Madjlessi

Bailey

2002

Biotech & Bioengineering

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The laser flow microfluorometer (FMF) can determine the amounts of certain components in single cells at sample rates of several thousand cells per second. This technique has been employed to characterize Bacillus subtilis populations in batch fermentations with different inocula. Protein and nucleic acid distributions obtained by FMF analyses at different times during the batch have been decomposed using an optimized fit of summed subpopulation distributions. The results of these decomposition calculations, some of which have been approximately confirmed by independent microscopic observations, indicate that the relative numbers of single rods, cell chains, spores, and swollen rounded cells change dramatically during the entire fermentation including the stationary phase. The dynamics of these subpopulations may be related to secondary metabolite production.

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Section: Decomposition Of the Fmf Datamentioning

confidence: 99%

“…(1)-(6) yields best fits of batch B. subtilis protein and nucleic acid distributions if the subpopulation distributions p k are taken to be gamma distributions. Brassard and Correia 27,28 have suggested the following two-parameter form of the gamma distribution for such calculations:…”

Section: Appendixmentioning

confidence: 99%

Analysis of fermentation processes using flow microfluorometry: Single‐parameter observations of batch bacterial growth

Fazel-Madjlessi

Bailey

2002

Biotech & Bioengineering

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Analysis of fermentation processes using flow microflourometry: Single‐parameter observations of batch bacterial growth

Fazel-Madjlessi

Bailey

1979

Biotech & Bioengineering

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The laser flow microfluorometer (FMF) can determine the amounts of certain components in single cells at sample rates of several thousand cells per second. This technique has been employed to characterize Bacillus subtilis populations in batch fermentations with different inocula. Protein and distributions obtained by FMF analyses at different times during the batch have been decomposed using an optimized fit of summed subpopulation distributions. The results of these decomposition calculations, some of which have been approximately confirmed by independent microscopic observations, indicate cells relative numbers of single rods, cell chains, spores, and swollen rounded cells change dramatically during the entire fermentation including the stationary phase. The dynamics of these subpopulations may be related to secondary metabolite production.

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A point process analysis of the spontaneous activity of anterior semicircular canal units in the anesthetized pigeon

Correia

Landolt²

1977

Biol. Cybernetics

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A computer program for the graphical and iterative fitting of probability density functions to biological data

Cited by 9 publications

References 19 publications

Analysis of fermentation processes using flow microfluorometry: Single‐parameter observations of batch bacterial growth

Analysis of fermentation processes using flow microfluorometry: Single‐parameter observations of batch bacterial growth

Analysis of fermentation processes using flow microflourometry: Single‐parameter observations of batch bacterial growth

A point process analysis of the spontaneous activity of anterior semicircular canal units in the anesthetized pigeon

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