2008
DOI: 10.1016/j.compbiomed.2007.11.002
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The proportionator: Unbiased stereological estimation using biased automatic image analysis and non-uniform probability proportional to size sampling

Abstract: The proportionator is a novel and radically different approach to sampling with microscopes based on the well-known statistical theory (probability proportional to size-PPS sampling). It uses automatic image analysis, with a large range of options, to assign to every field of view in the section a weight proportional to some characteristic of the structure under study. A typical and very simple example, examined here, is the amount of color characteristic for the structure, marked with a stain with known prope… Show more

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Cited by 38 publications
(47 citation statements)
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“…For example, in Figure 2A, one would sample sections with a smaller intersectional spacing in the beginning of the series (left) as opposed to the later sections in the series (right), where little change occurs in the areas of the sectional profiles of the region of interest. The calculations of the efficiency of estimates made with proportional sampling are not the same as those described for uniform sampling (see Gardi et al 2008).…”
Section: Spacing the Probesmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, in Figure 2A, one would sample sections with a smaller intersectional spacing in the beginning of the series (left) as opposed to the later sections in the series (right), where little change occurs in the areas of the sectional profiles of the region of interest. The calculations of the efficiency of estimates made with proportional sampling are not the same as those described for uniform sampling (see Gardi et al 2008).…”
Section: Spacing the Probesmentioning
confidence: 99%
“…PROPORTIONATOR SAMPLING This strategy outlined in The Spacing Between Sections: Capturing the Peaks and Spacing the Probes applies to uniform random sampling, which is the most widely applicable approach to sampling. There is an alternative approach, proportionator sampling, which may be more efficient for distributions that are nonuniform (Dorph-Petersen et al 2000;Gardi et al 2008). Certain features might be clustered, for example, specific cell types in the striatum.…”
Section: Spacing the Probesmentioning
confidence: 99%
“…In this study, a no-probability sample equation (n = N/1 + N (e) 2) was used to determine sample size [14], but for feasibility reasons, only 150 -170 samples for patients and 150 -180 for healthy individuals were chosen.…”
Section: Methodsmentioning
confidence: 99%
“…The Proportionator is a recent estimator that combines the power of image analysis with stereology to greatly increase the efficiency of subsampling of histological sections (Gardi et al 2008a;Gardi et al 2008b). This method uses nonuniform random sampling (Dorph-Petersen et al 2000) guided by image analysis-detected features of interest in the stained sections.…”
Section: Unbiased ''Questioning'' In Stereology: Geometric Probesmentioning
confidence: 99%