Table 1.
Details of the stereologic analysis procedures
∑P | |||||||||
---|---|---|---|---|---|---|---|---|---|
Obj. 1 | sla-x, sla-y [μm] | OGL | ML | IGL | WM | Total | |||
Volumes | 1.25× | 500 | 9.681 | 13.839 | 25.152 | 9.100 | 57.772 | ||
Obj. 2 | sln-x, sln-y [μm] | a [μm2] | h [μm] | d [μm] | ∑OD | ∑N | t [μm] | CEpred.[n] | |
GCs | 20× | 1,700 | 10 | 10 | 4 | 224 | 699 | 8.8 | 0.038 |
PCs | 20× | 500 | 60 | 60 | 4 | 394 | 466 | 12.9 | 0.046 |
OGL outer granular cell layer, ML molecular layer, IGL inner granular cell layer, WM white matter, Obj. 1 objective used for delineating the regions of interest and point counting, sla-x and sla-y, distance between the points used for volume estimates in mutually orthogonal directions x and y, ∑P average number of points counted, GCs granule cells, PCs Purkinje cells, Obj. 2 objective used for counting neurons, sln-x and sln-y distance between the unbiased virtual counting spaces used for counting neurons in mutually orthogonal directions x and y; a and h base and height of the unbiased virtual counting spaces, d depth within the section at which the unbiased virtual counting spaces were placed, ∑OD average number of unbiased virtual counting spaces used, ∑N average number of neurons counted, t measured actual average section thickness of the sections after histological processing, CE pred. [n] average predicted coefficient of error of the estimated total neuron numbers using the prediction method described by [44]