Figure 4.

Multidimensional clustering of visually classified sperm tracks and generation of a multiclass SVM model. Sperm incubated for 3 h in HTF complete medium were visually classified according to motility pattern to generate a training set for human CASAnova. Tracks were then plotted as a function of their independent kinematic parameters (VAP, VSL, VCL, ALH, and BCF) in a multidimensional scatter plot (A). VAP, VSL, and VCL axes are shown in this plot. Progessive sperm are represented in the bottom right cluster. Intermediate sperm cluster in the center-right of the plot while hyperactivated sperm are clustered in the top center portion of the plot. Slow sperm and weakly motile sperm are clustered in the bottom center and bottom left of the plot, respectively. (B) Decision tree model demonstrating how SVM equations are sequentially applied to CASA track parameters to identify sperm motility patterns.