Abstract: Line-edge roughness or line width roughness is evaluated while preventing influence of noise caused by a device or an environment. Therefore, an averaged signal profile 405 in which a moving average of S pixels (S is an integer greater than 1) is taken in a Y direction is obtained from a signal profile showing a secondary electron signal amount distribution in an X direction with respect to a predetermined Y coordinate obtained from a top-down image, an edge position 406 of a line pattern is extracted based on the averaged signal profile, and a noise floor height is calculated based on a first power spectral density 407 of LER data or LWR data based on the extracted edge position and a second power spectral density 409 of a rectangular window function corresponding to the moving average of the S pixels.

Abstract: An object of the invention is to quantitatively evaluate crystal growth amount in a wide range from an undergrowth state to an overgrowth state with nondestructive inspection. By using a plenty of image feature values such as pattern brightness, a pattern area and a pattern shape which are extracted from an SEM image, and depending on whether brightness inside a pattern is lower than brightness outside the pattern (401), undergrowth and overgrowth is determined (402, 405). Based on a brightness difference or the pattern area, a growth amount index or a normality index of crystal growth in a concave pattern such as a hole pattern or a trench pattern is calculated (404, 407).

Abstract: A measurement system comprising: a measurement apparatus observing a sample based on an observation condition including parameters; and an observation condition database storing data in which a search key related to the sample and the observation condition, a control unit calculating information on an observation condition of a sample is configured to: receive an observation condition search request including a search key related to a target sample; refer the observation condition database to search for the first data matching or similar to the search key related to the target sample included in the observation condition search request, calculate, based on the searched first data, a candidate observation condition of the measurement apparatus for observing the target sample, and output display data for presenting the candidate observation condition.

Abstract: An inspection device includes a charged particle optical system that includes a charged particle beam source emitting a charged particle beam and plural lenses focusing the charged particle beam on a sample, a detector that detects secondary charged particles emitted by an interaction of the charged particle beam and the sample, and a calculation unit that executes auto-focusing at a time a field of view of the charged particle optical system moves over plural inspection spots, the calculation unit irradiates the charged particle beam to the sample under an optical condition that is obtained by introducing astigmatism of a predetermined specification to an optical condition that is for observing a pattern by the charged particle optical system, and executes the auto-focusing using an image formed from a signal outputted by the detector in detecting the secondary charged particles.

Abstract: Line-edge roughness or line width roughness is evaluated while preventing influence of noise caused by a device or an environment. Therefore, an averaged signal profile 405 in which a moving average of S pixels (S is an integer greater than 1) is taken in a Y direction is obtained from a signal profile showing a secondary electron signal amount distribution in an X direction with respect to a predetermined Y coordinate obtained from a top-down image, an edge position 406 of a line pattern is extracted based on the averaged signal profile, and a noise floor height is calculated based on a first power spectral density 407 of LER data or LWR data based on the extracted edge position and a second power spectral density 409 of a rectangular window function corresponding to the moving average of the S pixels.

Abstract: A measurement system comprising: a measurement apparatus observing a sample based on an observation condition including parameters; and an observation condition database storing data in which a search key related to the sample and the observation condition, a control unit calculating information on an observation condition of a sample is configured to: receive an observation condition search request including a search key related to a target sample; refer the observation condition database to search for the first data matching or similar to the search key related to the target sample included in the observation condition search request, calculate, based on the searched first data, a candidate observation condition of the measurement apparatus for observing the target sample, and output display data for presenting the candidate observation condition.

Abstract: An inspection device includes a charged particle optical system that includes a charged particle beam source emitting a charged particle beam and plural lenses focusing the charged particle beam on a sample, a detector that detects secondary charged particles emitted by an interaction of the charged particle beam and the sample, and a calculation unit that executes auto-focusing at a time a field of view of the charged particle optical system moves over plural inspection spots, the calculation unit irradiates the charged particle beam to the sample under an optical condition that is obtained by introducing astigmatism of a predetermined specification to an optical condition that is for observing a pattern by the charged particle optical system, and executes the auto-focusing using an image formed from a signal outputted by the detector in detecting the secondary charged particles.

Abstract: An object of the invention is to quantitatively evaluate crystal growth amount in a wide range from an undergrowth state to an overgrowth state with nondestructive inspection. By using a plenty of image feature values such as pattern brightness, a pattern area and a pattern shape which are extracted from an SEM image, and depending on whether brightness inside a pattern is lower than brightness outside the pattern (401), undergrowth and overgrowth is determined (402, 405). Based on a brightness difference or the pattern area, a growth amount index or a normality index of crystal growth in a concave pattern such as a hole pattern or a trench pattern is calculated (404, 407).