All these aforementioned factors make data interpretation difficult, reinforcing the need for meta-analytic studies in this area using homogeneous morphometric methodologies and including multiple samples of patients.
So far, there is no general method for the morphometric analysis of all these types of symmetry, although some methods have been proposed for specific types [ 37, 38] and an application of the present methodology to one type of symmetry has been published [ 39].
Cell densities (neurons per cubic millimeter) were estimated in 8 μm Neu-N-stained slices at 400x magnification with a morphometric grid methodology using Abercrombie's correction [ 36] as previously described and well established in the literature for surgical hippocampal fragments [ 1, 3, 8, 11, 37– 41].
Cell densities (neurons per cubic millimeter) were estimated in 8 μm Neu-N stained slices at 400x magnification with a morphometric grid methodology using Abercrombie's correction [ 50] as previously described and well established in the literature for surgical hippocampal fragments [ 3, 5– 7, 51– 51].
Cell densities (neurons per cubic millimeter) were estimated in 8-µm Neu-N stained slices at 400× magnification with a morphometric grid methodology using Abercrombie∼s correction (Abercrombie, 1946) as previously described (Babb et al., 1984a; Mathern et al., 1995a; Kandratavicius et al., 2012).
Necessary check dam locations are also identified using morphometric analysis to prevent the erosion risk.
In this study, we use geometric morphometric methods to quantify shape variation.
Furthermore, we performed morphometric analysis to quantitate the number of neutrophils in the lung (Table 2).
Thus, in this study we used morphometric traits to define variations in A. melegueta accessions.
The methodology employed to determine the morphometric parameters and its outcomes are given in Table 1.
