Figure 2.

P of yolk-granule detection in DIC. (a) ROIs from the anterior (A) (line) and posterior (dashed line) regions of a DIC image time series of a C. elegans embryo were used to estimate (b) the ground truth (GT; solid circle) through manual annotation of granules and classify detections based on the algorithm as either true positives (open circle), detected by the algorithm, as well as manually false positives (asterisk), those identified by the algorithm but not manually, and false negatives (open square), those that were identified manually but the algorithm failed to detect. (c–e) The mean $\pm$ standard deviation (SD) from n = 6 ROIs measuring S (dotted line, Eq. 7), P (dashed line, Eq. 8), and the F1 score (solid line, Eq. 9) of detection are plotted to examine the effect of three different parameters input to DICOT, namely (c) the filter size k_size (with σ =0.5949, ϕ = −0.0354), (d) the standard deviation of the filter σ (k_size = 7), ϕ = 0.0354), and (e) the S factor ϕ (with σ = 0.5949, k_size = 7). The fixed values were taken from a systematic scan of all three parameters (Fig. S6) and are marked with a vertical dotted line. (f) Shown is the frequency distribution of the positional detection error in pixels based on filtering by either Gaussian (dash-and-dot line), inverted iLoG (solid line), DoG (dashed line), or SoG (dotted line) is plotted with (bottom) the box-plot representing the data scatter. Here, the following symbols have the described meaning: open circle, mean; midline, median; and whiskers, minimum and maximum. (g) The effect of multiplicative speckle noise on positional detection error was examined for a range of variance values of the noise function. Two representative images of variance 0 and 0.042 were filtered based on the optimal parameters for detection by filtering and segmentation based on either Gaussian (open circle), iLog (cross), DoG (plus sign), or SoG (asterisk) filters. The error is the distance from the GT (solid circle). (h) The mean (left) and median (right) positional detection error for increasing variance of noise ranging is plotted. To see this figure in color, go online.