In recent years, it has been argued by some neuroanatomists that three-dime
nsional (3-D) counting approaches must be used in studies of neural systems
, so that 'unbiased' counts of neurons can be obtained. By contrast, two-di
mensional (2-D) cell-counting methods are said to be 'assumption-based' and
to yield inaccurate results. Working from the premise that all scientific
methodologies are assumption-based and suffer from inherent biases, the cur
rent review considers the relative strengths and weaknesses of 2-D versus 3
-D counting approaches. This comparison is from the standpoint of predictiv
e performance with respect to bias, variance and fidelity to the actual spa
tial arrangements of cells in the tissue under study. When these considerat
ions are taken, together with the human resources that are required in usin
g either methodology, 2-D methods offer more practical alternatives that mi
ght even provide more scientifically accurate estimates compared with their
3-D counterparts.