Figure 1

Simplified illustration of the DevStaR system. The input images are from 96-well plates containing a population of mixed stages of adult, larva and embryo worms. Each pixel within the wells is first grouped together (contrast measure). Pixels are then grouped into connected components based on a threshold value (pairwise symmetry score). Third, for the object categorization, a support vector machine (SVM) learning method assigned a score to each category. Finally, as a result of the segmentation and labeling, DevStaR distinguishes adult (blue), larva (red) and embryo (green) worms.