A well-deserved criticism of stereology is that it is often too diffic
ult to understand and use. Nevertheless, it is rapidly becoming one of
the most effective ways of collecting and interpreting structural dat
a in experimental biology. Recent breakthroughs in theory have produce
d a remarkable set of tools that can be used to engineer new methods.
The dilemma remains, however, in that some of these new methods contin
ue to be too difficult to understand and use. One solution to this gro
wing problem of technology transfer might be to simplify the methods w
ith computer software. To test this idea, programs were written for qu
antitative immunogold and in situ hybridization. Simulators were used
to develop and test new experimental designs, which, in turn, were tra
nslated into step-by-step laboratory toolkits. This paper shows how th
ese toolkits can turn two-dimensional section data into estimates for
the number of labeled molecules in three-dimensional organelles, cells
, tissues, and organs. The results indicate that software can identify
the key data of an experiment and reduce the computational requiremen
ts of a new stereological method to entering constants and variables i
nto data entry forms.