Abstract: In a method of inspecting an object, a first light is irradiated onto a bare object and a first reflection signal is reflected from the bare object. A second light is irradiated onto a processed object and a second reflection signal is reflected from the processed object. The first and second reflection signals are differentiated, to thereby generate respective first and second differential signals. A defect on the processed object is detected by a comparison between the first and second differential signals. The first and second differential signals overlap with each other and at least one signal-deviation portion is detected. The first and second differential signals are spaced apart out of an allowable error range in the signal-deviation portion. The defect is detected from a portion of the processed object corresponding to the signal-deviation portion.

Abstract: A method of classifying defects of an object includes irradiating multi-wavelength light onto the object, splitting light reflected from the object into light beams, each of the light beams having different wavelengths, obtaining image information of the object based on each of the light beams, forming a characteristic matrix that represent the wavelengths and the image information, and analyzing the characteristic matrix to determine types of the defects on the object. Thus, the defects may be accurately classified using a difference between reactivity of each of the defects in accordance with variations of the wavelengths and inspection conditions.

Abstract: In a method of measuring a surface voltage of an insulating layer, the number of times that surface voltages are measured in a depletion region increases so that precise data about the depletion region may be obtained. The number of times that the surface voltages are measured in an accumulation region and an inversion region decreases so that the data about the depletion region may be rapidly obtained.

Abstract: A method of inspecting an inspection pattern using a statistical inference function is disclosed. The inference function is generated in relation to optical reference signal data and reference pattern characteristic data for a plurality of reference patterns formed by a unit process of interest on reference substrates.

Abstract: In a method of measuring a critical dimension for conductive structures or openings exposing conductive structures formed on a substrate, a corona ion charge is deposited on the conductive structures and/or an insulating layer having the openings in a measurement region of the substrate. The critical dimension of the conductive structures or the openings may be determined by comparing variations of a surface voltage caused by leakage current through the conductive structures with reference data to thereby improve reliability of the critical dimension measurement.

Abstract: A method of classifying defects of an object includes irradiating multi-wavelength light onto the object, splitting light reflected from the object into light beams, each of the light beams having different wavelengths, obtaining image information of the object based on each of the light beams, forming a characteristic matrix that represent the wavelengths and the image information, and analyzing the characteristic matrix to determine types of the defects on the object. Thus, the defects may be accurately classified using a difference between reactivity of each of the defects in accordance with variations of the wavelengths and inspection conditions.

Abstract: In a method of measuring a surface voltage of an insulating layer, the number of times that surface voltages are measured in a depletion region increases so that precise data about the depletion region may be obtained. The number of times that the surface voltages are measured in an accumulation region and an inversion region decreases so that the data about the depletion region may be rapidly obtained.

Abstract: In a method of inspecting an object, a first light is irradiated onto a bare object and a first reflection signal is reflected from the bare object. A second light is irradiated onto a processed object and a second reflection signal is reflected from the processed object. The first and second reflection signals are differentiated, to thereby generate respective first and second differential signals. A defect on the processed object is detected by a comparison between the first and second differential signals. The first and second differential signals overlap with each other and at least one signal-deviation portion is detected. The first and second differential signals are spaced apart out of an allowable error range in the signal-deviation portion. The defect is detected from a portion of the processed object corresponding to the signal-deviation portion.

Abstract: A method of inspecting an inspection pattern using a statistical inference function is disclosed. The inference function is generated in relation to optical reference signal data and reference pattern characteristic data for a plurality of reference patterns formed by a unit process of interest on reference substrates.