1969
DOI: 10.1017/s0022172400041723
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Overlap and the errors of plaque counting: I. The overlap biases of observed counts and their correction

Abstract: SUMMARYThe number of plaque-forming units is underestimated if plaques overlap. A simple model was developed to account for this bias, and tested by an extensive experimental analysis. It is shown that models of this type are inadequate, but can be modified to give objective methods for setting limits to the acceptable counting range, and for correcting the overlap bias of observed counts which fall within this range.Where overlapping of plaques is a significant source of error, these methods will improve the … Show more

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Cited by 6 publications
(4 citation statements)
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“…All tubes were stored upright in the dark at 4°C in between measurements. A correction factor was applied to the observed count of lysis plaques to compensate for overlap bias (Howes, 1969; Howes and Fazekas de St Groth, 1969) (see Data S1).…”
Section: Methodsmentioning
confidence: 99%
“…All tubes were stored upright in the dark at 4°C in between measurements. A correction factor was applied to the observed count of lysis plaques to compensate for overlap bias (Howes, 1969; Howes and Fazekas de St Groth, 1969) (see Data S1).…”
Section: Methodsmentioning
confidence: 99%
“…Traditional plaque assay is recognized as the golden standard method for measuring viral titers, including for HSV [ 5 ]. However, there are significant limitations of this method, such as (1) long hands-on time during the experiment and the waiting time for the results (usually 3~7 days), (2) cumbersome procedures with a low throughput when titrating multiple clones, and (3) the inherent subjectivity and possible errors during the plaque counting [ 6 ]. 50% cell culture infectious dose (CCID 50 ) is also widely used for virus titration [ 7 ].…”
Section: Introductionmentioning
confidence: 99%
“…Procedures for correcting overlap bias of plaque counts, described in the preceding paper (Howes, 1969), yield more reliable estimates of the numbers of plaque-forming units actually present in samples. However, to take full advantage of the method, it is also necessary to specify the errors associated with plaque counting.…”
Section: Introductionmentioning
confidence: 99%