![]() ![]() Frontal (coronal) sections are typically most efficient by providing the smallest CEs for a given amount of work. The orientation of the sections impacted on CE sizes. Only for the combined layers, i.e., the entire dentate gyrus, better CE estimates could be obtained using an m of 1. For all layers, we found that a smoothness factor ( m) of 0 generally provided better estimates than an m of 1. We found that this estimator provided useful estimates of the precision that can be expected from samples of different sizes. We tested the performance of the commonly used Gundersen-Jensen CE estimator, using the layers of the mouse hippocampal dentate gyrus as an example (molecular layer, granule cell layer and hilus). Estimators of the coefficient of error ( CE) have been developed to provide tentative answers to the question if sampling has been “good enough” to provide meaningful statistical outcomes. Sampling generated variability should, e.g., not be able to hide significant group differences from statistical detection if they are present. Samples need to be representative to allow statistical evaluations, and samples need to deliver a precision that makes statistical evaluations not only possible but also meaningful. Sampling is a critical step in procedures that generate quantitative morphological data in the neurosciences. 4Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.3Neuroscience Center Zürich, University of Zürich, ETH Zürich, Zürich, Switzerland.2Department of Pulmonology, University Hospital Zürich, Zürich, Switzerland.1Division of Functional Neuroanatomy, Institute of Anatomy, University of Zürich, Zürich, Switzerland.Lisa Basler 1,2, Stephan Gerdes 1, David P. ![]()
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