1. A system comprising: a memory to store one or more classification rules; and a processor, coupled with the memory, to: capture a first image of a defect on a sample using a first image acquisition mode, wherein the first image acquisition mode uses a first type of detector that collects a first type of image information; extract a first set of features of the defect from the first image of the defect; assign a first classification to the defect by applying the one or more classification rules to the extracted first set of features; determine, responsive to an assignment of the first classification to the defect and based on a confidence level of the first classification, to capture a second image of the defect using a second image acquisition mode, wherein the second image acquisition mode uses a second type of detector that collects a second type of image information and that is selected by using the assignment of the first classification to the defect; identify associations of a plurality of defect classifications to a plurality of different types of detectors available to capture the second image, wherein the plurality of different types of detectors collect different types of image information; select, responsive to a determination to capture the second image, the second type of detector from the plurality of different types of detectors that are available to capture the second image based on associations of the plurality of defect classifications to the plurality of image acquisition modes and the assignment of the first classification to the defect, wherein each type of detector of the plurality of different types of detectors performs a different operation associated with the second image acquisition mode; capture the second image of the defect using the second image acquisition mode; extract a second set of features of the defect from the second image of the defect; and assign a second classification to the defect by applying the one or more classification rules to the second set of features.