Optimization of dopaminergic neuron counting in substantia nigra of parkinsonian mice

Parkinson’s disease (PD) results from the degeneration of dopaminergic (DA-ergic) neurons of substantia nigra pars compacta (SNc). The disease is modeled in mice by the administration of a neurotoxin precursor 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). Neurotoxin efficiency is estimated by reduced number of DA-ergic neurons in SNc. Cell counting on serial sections is very laborious and expensive and, therefore, is not widely used in spite of its high precision. The well-known Konigsmark’s formula (KF) allows one to perform counting on sections chosen with a certain interval rather than to utilize serial sections. However, its precision decreases with increasing interval and other parameters. In this paper, we described the mathematical method of approximation (MA) by improving KF. MA maintains counting precision and allows one to reduce the time and expenses for material processing and analysis.