Abstract: The purpose of the present disclosure is to provide a technology for calculating a machine difference correction coefficient more efficiently with high accuracy. A defect inspection device according to the present disclosure calculates a machine difference correction coefficient for correcting a difference in the feature amount of a reference sample between devices, and when a machine difference variation coefficient indicating the change over time in the feature amount of a calibration member is outside a threshold range, recalculates the machine difference correction coefficient by using the feature amount of the calibration member.

Abstract: The objective of the present invention is to reduce differences between individual electron beam observation devices accurately by means of image correction.

Abstract: Roughness measurement corrects a machine difference utilizing first PSD data indicating power spectral density of a line pattern measured for a line pattern formed on a wafer for machine difference management by a reference machine in roughness index calculation and second PSD data indicating power spectral density of a line pattern measured for the line pattern formed on the wafer for machine difference management by a correction target machine are used to obtain a correction method for correcting the power spectral density of the second PSD data to the power spectral density of the first PSD data, power spectral density of a line pattern is measured as third PSD data from a scanning image of the line pattern, and corrected power spectral density obtained by correcting the power spectral density of the third PSD data by the obtained correction method is calculated.

Abstract: The objective of the present invention is to reduce differences between individual electron beam observation devices accurately by means of image correction.

Abstract: A scanning electron microscope (SEM) is configured so that SEM images are acquired while scanning a pyramid pattern on a sample plane from four directions. Landing angle of the electron beam is calculated from these SEM images, which are then averaged, whereby inclination angle of the electron beam that is less influenced from scan distortion can be found.

Abstract: In a scanning electron microscope, if a failure is caused to occur in a SEM image by the influence of a disturbance such as magnetic field or vibration inside and from outside the device, the cause is identified simply and accurately using this SEM image. There is provided a measurement technique whose measurement accuracy is not influenced by a roughness of SEM image pattern. A one-dimensional scanning is performed in a scanning-line direction (X direction) by setting the Y-direction scanning gain at zero at the time of acquiring the SEM image, and a two-dimensional image is created by arranging image information, which is obtained by the scanning, in a time-series manner in the Y direction. A shift-amount data on the two-dimensional image is acquired using a correlation function, and the magnetic field or vibration included within the SEM image is measured by a frequency analysis of the data.

Abstract: A scanning electron microscope (SEM) is configured so that SEM images are acquired while scanning a pyramid pattern on a sample plane from four directions. Landing angle of the electron beam is calculated from these SEM images, which are then averaged, whereby inclination angle of the electron beam that is less influenced from scan distortion can be found.

Abstract: In a scanning electron microscope, if a failure is caused to occur in a SEM image by the influence of a disturbance such as magnetic field or vibration inside and from outside the device, the cause is identified simply and accurately using this SEM image. There is provided a measurement technique whose measurement accuracy is not influenced by a roughness of SEM image pattern. A one-dimensional scanning is performed in a scanning-line direction (X direction) by setting the Y-direction scanning gain at zero at the time of acquiring the SEM image, and a two-dimensional image is created by arranging image information, which is obtained by the scanning, in a time-series manner in the Y direction. A shift-amount data on the two-dimensional image is acquired using a correlation function, and the magnetic field or vibration included within the SEM image is measured by a frequency analysis of the data.