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An ROI was drawn that included all Sas-4-mCherry pixels that had a value above 2 standard deviations from the mean image value, and the total value of the Sas-4-mCherry signal and of the GFP-Cnn or Spd-2-GFP signal within these pixels was calculated.
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In order to ease visualization of the structural features, the raw image was Fourier-transformed and filtered using a band pass with a window set for spatial frequencies between 1.6 and 40 nm−1, and a color threshold was then applied to reduce the contribution from pixels having a grey color lower than half of the mean image grey value.
The following algorithms were included: 1) motion detection between subsequent images by means of a center of intensity algorithm in three directions, 2) spatial smoothing with a 3×3 pixel Gaussian convolution filter, 3) intensity normalisation with a resulting mean image intensity value of 1000.
In order to assess the ability of the SVM to predict the genotypic origin of a given NMJ image, mean decision values (reflecting degree of reliability of the assignment of mutant vs. wild type) were calculated.
In order to normalize a gray-scale face image, its mean intensity value is extracted from each pixel and each pixel is divided to its standard deviation.
At first, all suspicious MCs are preserved by thresholding a filtered mammogram via a wavelet filter according to the MPV (mean pixel value) of that image.
We analysed the mean grey value of each image.
Mean recorded values of CTDIvol, DLP, image noise and mean estimated value of E are reported in Table 4.
Images were further normalized into the Talairach and Tournoux stereotaxic space [ 31], using the mean images to obtain the parameters' values and applying to the resliced images a trilinear interpolation with eight non-linear iterations.
Figure 6 displays mean anisotropy values for the different image categories.
The number of PLA spots divided by the number of nuclei was obtained from each image, and mean values ± the standard error of the mean (SEM) of the ratio was defined as PLA/cell.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com