Abstract:
A method of automatic defect classification (ADC) includes detecting defective parts from a substrate wherein at least one unit process is performed; and classifying defect types of the respective defective parts, wherein the classifying includes obtaining a scanning electron microscope (SEM) image of each of the defective parts; registering information about the substrate in a graphic data system (GDS) image corresponding to each SEM image; defining a plurality of defects of interest (DOIs) categorizing defects of the respective defective parts; defining a DOI rule that is a criterion for determining which defects of the respective defective parts correspond to which DOI from among the DOIs; and analyzing the image to classify which defects of the respective defective parts correspond to which DOI from among the DOIs according to the DOI rule.
Abstract:
Apparatuses and methods for extracting defect depth information and methods of improving semiconductor device manufacturing processes using defect depth information are provided. The apparatuses may include an inspection assembly configured to obtain a plurality of optical images of a portion of an inspection object including a defect along a depth direction and a processor circuit configured to generate defect data using the plurality of optical images and provide defect depth information by comparing the defect data with comparison data in a library database.
Abstract:
A method of automatic defect classification (ADC) includes detecting defective parts from a substrate wherein at least one unit process is performed; and classifying defect types of the respective defective parts, wherein the classifying includes obtaining a scanning electron microscope (SEM) image of each of the defective parts; registering information about the substrate in a graphic data system (GDS) image corresponding to each SEM image; defining a plurality of defects of interest (DOIs) categorizing defects of the respective defective parts; defining a DOI rule that is a criterion for determining which defects of the respective defective parts correspond to which DOI from among the DOIs; and analyzing the image to classify which defects of the respective defective parts correspond to which DOI from among the DOIs according to the DOI rule.
Abstract:
Provided is a wafer inspection apparatus using three-dimensional (3D) images, which apparatus may acquire a 3D image by adjusting a focal position at a high speed, and inspect a wafer by using the 3D image so that a 3D inspection operation may be precisely performed on patterns formed on the wafer at a high speed. The wafer inspection apparatus may include a stage on which a wafer is disposed, an optical apparatus configured to acquire an image of a pattern formed on the wafer by using a scan method, a focus adjusting unit configured to change a focal position of light irradiated to the wafer according to a scan speed of the optical apparatus, and an image processor configured to integrate images corresponding to focal positions and generate and analyze 3D images.