PURPOSE: The goal of the present study is to develop a semi-automated method to estimate accurately, with minimum variance, the total number of axons by counting a subset of the axons within a primate optic nerve. METHODS: Using an imaging analysis system, axons in 50% of the area of cross-sections of the retrobulbar optic nerve from five adult Rhesus monkeys were counted and extrapolated as an estimate of total axon number of the optic nerves. Both neural and non-neural areas were sampled. With the coordinates of the counts topographically registered, axon numbers within areas ranging from 1 to 50% were resampled. A Monte Carlo and theoretical estimate of the standard deviation of the total axon count for each sampled area was computed. RESULTS: The mean cross-sectional area of the five optic nerves counted was 7.26 +/- 0.6 mm2, and the mean total axon count of the optic nerve area was 1,304,8168 +/- 89,112. When sampling less than 8% of the optic nerve, the standard deviation within the individual of the total estimated axon number increased sharply. CONCLUSION: With this technique, the variance within each individual increased only slightly when the counting area was reduced from 50 to 8%, but increased sharply when the counted area became less than 8%. While counting less than 8% of the optic nerve area gives a good estimation of total axon count, the effect of a substantial increase in the standard deviation on the statistical power needed to differentiate group differences will depend on the study design.
PURPOSE: The goal of the present study is to develop a semi-automated method to estimate accurately, with minimum variance, the total number of axons by counting a subset of the axons within a primate optic nerve. METHODS: Using an imaging analysis system, axons in 50% of the area of cross-sections of the retrobulbar optic nerve from five adult Rhesus monkeys were counted and extrapolated as an estimate of total axon number of the optic nerves. Both neural and non-neural areas were sampled. With the coordinates of the counts topographically registered, axon numbers within areas ranging from 1 to 50% were resampled. A Monte Carlo and theoretical estimate of the standard deviation of the total axon count for each sampled area was computed. RESULTS: The mean cross-sectional area of the five optic nerves counted was 7.26 +/- 0.6 mm2, and the mean total axon count of the optic nerve area was 1,304,8168 +/- 89,112. When sampling less than 8% of the optic nerve, the standard deviation within the individual of the total estimated axon number increased sharply. CONCLUSION: With this technique, the variance within each individual increased only slightly when the counting area was reduced from 50 to 8%, but increased sharply when the counted area became less than 8%. While counting less than 8% of the optic nerve area gives a good estimation of total axon count, the effect of a substantial increase in the standard deviation on the statistical power needed to differentiate group differences will depend on the study design.
Authors: Juan Reynaud; Grant Cull; Lin Wang; Brad Fortune; Stuart Gardiner; Claude F Burgoyne; George A Cioffi Journal: Invest Ophthalmol Vis Sci Date: 2012-05-01 Impact factor: 4.799
Authors: Grant A Cull; Juan Reynaud; Lin Wang; George A Cioffi; Claude F Burgoyne; Brad Fortune Journal: Invest Ophthalmol Vis Sci Date: 2012-11-21 Impact factor: 4.799