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The combined unmodelled variance for these two fits as reported by the fitting algorithm was 0.04%.
Ten artificial imperfections (positive and negative in z-direction) were used and than automatically filtered-out by the fitting algorithm (8.5% of data were removed).
We examined the first fifty equations ranked, increasingly, according to the lowest sum of squared absolute error, as computed by the fitting algorithm.
The errors generated by the fitting algorithm applied to the metallic markers describing the different muscle fibre paths, were on average 1.7 mm ( 0.9 mm) and were mainly due to smoothing of local bends and kinks in the markers from manipulation during dissections and fixation.
The SEM values quoted are those calculated by the fitting algorithm.
If the particle is not present, its concentration will be set to zero by the fitting algorithm.
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The fitting algorithm increments the connectivity during the fitting process until a satisfactory fit is obtained.
The fitting algorithm is in two steps.
Figure 8 shows the structure of the fitting algorithm.
We performed this analysis with two different criteria related to convergence of the fitting algorithm.
Although the fitting algorithm did not converge satisfactory (the fitting was for 'noisy' individual bumps, not their averages), we could extrapolate 'by hand' the parameters that provided a good approximation for the recorded bump(s) (Fig. 6A), guided by the values obtained with the bump noise analysis (see below).
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