Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans
Fig 6
Second layer classification for neuron pair detection.
a) The first layer of classification is insufficient for rejection of all background particles. b) The reduced candidate set from the first layer of classification is used to form candidate cell pairs with feature sets describing their relative positioning and intensities. c) Although classification based on these features is sufficient for accurate cell pair detection in the majority of cases (left), multiple potential cell pairs are sometimes classified within the same image (right). d) Incorporating probability estimates (shown in panel c) into the SVM model and selecting the most likely cell pair eliminates these false positives and increases the specificity of the classifier.