Care must be taken when computing the RMS of the difference between two wave aberration measurements. This is because there is uncertainty in the estimated value of each Zernike term that describes the wavefront, which will always amount to a positive and finite difference when the RMS of the difference is computed. For example, consider two measurements of a static optical system. Even if the aberration is based on several measurements, the average value of each Zernike term between the two measurements will not be the same. The difference between the terms will average to zero, but the RMS of the difference will always have a positive value. Therefore, the RMS of a change of aberrations will be elevated because each value is sitting on a noise floor caused by uncertainty in the measurements. The size of the noise floor depends on the noise in each measurement and is specific to each device and method of data collection.
For our experiment, we computed the value of the noise floor by first determining the average
SD, term by term, for all of the subjects in the study. The
SD for each subject was based on three measurements, which itself is not a sufficient number of samples to determine the error, but the average of many subjects is. Once the average
SD for each term was known, we computed the SEM for each term
\(({\rm SEM} = SD/\sqrt{3})\), considering three measurements. The SE of the difference between two repetitive measurements for each term was calculated as
\(\sqrt{2}.{\rm SEM}\). The noise floor was calculated as the RMS of the SE of the difference for all the terms. For the plots on
Figure 4, the noise floor for astigmatism (Z3 and Z5 combined), coma (Z7 and Z8 combined), and spherical aberration (Z12) were 0.044, 0.033, and 0.013 micrometers, respectively. For the total 2
nd to 6
th order RMS values (excluding defocus), the noise floor was 0.075 micrometers. These amounts were subtracted from each difference value in the scatter plots of
Figure 4 and the bar graphs of
Figure 6. Not subtracting the noise floor values gives rise to erroneous overestimations of the RMS of the change in aberrations. Incidentally, computing the noise floor also provides a value that indicates the repeatability of the wavefront measurement.