A method for automatically imaging in an electron microscope (SEM, TEM or STEM) features in a region of interest in a lamella without prior knowledge of the features to be imaged, thereby enabling multiple electron microscope images to be obtained by stepping from the first image location without requiring the use of image recognition of individual image features. By eliminating the need for image recognition, substantial increases in image acquisition rates may be obtained.

According to one aspect of the present invention, a multi-beam image acquisition apparatus, includes: an objective lens configured to image multiple primary electron beams on a substrate by using the multiple primary electron beams; a separator configured to have two or more electrodes for forming an electric field and two or more magnetic poles for forming a magnetic field and configured to separate multiple secondary electron beams emitted due to the substrate being irradiated with the multiple primary electron beams from trajectories of the multiple primary electron beams by the electric field and the magnetic field formed; a deflector configured to deflect the multiple secondary electron beams separated; a lens arranged between the objective lens and the deflector and configured to image the multiple secondary electron beams at a deflection point of the deflector; and a detector configured to detect the deflected multiple secondary electron beams.

The present disclosure provides a pattern cross-sectional shape estimation system which includes a charged particle ray device which includes a scanning deflector that scans a charged particle beam, a detector that detects charged particles, and an angle discriminator that is disposed in a front stage of the detector and discriminates charged particles to be detected, and an arithmetic device that generates a luminance of an image, and calculates a signal waveform of a designated region on the image using the luminance. The arithmetic device generates angle discrimination images using signal electrons at different detection angles, and estimates a side wall shape of a measurement target pattern.

In one embodiment, a multi charged particle beam evaluation method includes writing a plurality of evaluation patterns on a substrate by using multi charged particle beams, with a design value of a line width changed by a predetermined change amount at a predetermined pitch, measuring the line widths of the plurality of evaluation patterns thus written, and extracting a variation in a specific period of a distribution of differences between results of a measurement value and the design value of each of the line widths of the plurality of evaluation patterns. The predetermined change amount is equal to or larger than data resolution and smaller than a size of each of pixels, each of which is a unit region to be irradiated with one of the multi charged particle beams.

Even when the amount of overlay deviation between patterns located in different layers is large, correct measurement of the amount of overlay deviation is stably performed. The charged particle beam device includes a charged particle beam irradiation unit that irradiates a sample with a charged particle beam, a first detection unit that detects secondary electrons from the sample, a second detection unit that detects backscattered electrons from the sample, and an image processing unit that generates a first image including an image of a first pattern located on the surface of the sample based on an output of the first detection unit, and generates a second image including an image of a second pattern located in a lower layer than the surface of the sample based on an output of the second detection unit. A control unit adjusts the position of a measurement area in the first image based on a first template image for the first image, and adjusts the position of a measurement area in the second image based on a second template image for the second image.

According to an embodiment, a method for automated critical dimension measurement on a substrate for display manufacturing is provided. The method includes scanning a first field of view having a first size with a charged particle beam to obtain a first image having a first resolution of a first portion of the substrate for display manufacturing; determining a pattern within the first image, the pattern having a first position; scanning a second field of view with the charged particle beam to obtain a second image of a second portion of the substrate, the second field of view has a second size smaller than the first size and has a second position provided relative to the first position, the second image has a second resolution higher than the first resolution; and determining a critical dimension of a structure provided on the substrate from the second image.

An edge detection system is disclosed. The edge detection system includes an imaging device configured for imaging a pattern structure to form a first image, wherein the pattern structure includes a predetermined feature, and the imaging device images the pattern structure to generate measured linescan information that includes image noise. The edge detection system includes a processor, coupled to the imaging device, configured to receive the measured linescan information including image noise from the imaging device, wherein the processor is configured to: apply the measured linescan information to an inverse linescan model that relates the measured linescan information to feature geometry information, determine, from the inverse linescan model, feature geometry information that describes feature edge positions of the predetermined feature corresponding to the measured linescan information, determine from the feature geometry information at least one metric that describes a property of the edge detection system.

A plasma processing apparatus includes a substrate chuck having a first region configured to support a substrate and a second region located at a lower level, a focus ring disposed on the second region and surrounding an outer circumferential surface of the first region, a driving unit disposed below the focus ring, the driving unit including a driving source and a driving shaft in contact with a lower surface of the focus ring and configured to adjust a position of an upper surface of the focus ring by a first distance value, a chromatic confocal sensor disposed below the focus ring and configured to measure a second distance value in which the lower surface of the focus ring is moved by irradiating measurement light to the lower surface of the focus ring, and a control unit calculating an error value between the first distance value and the second distance value.

A method for calibration including determining a temperature induced offset in a pedestal of a process module under a temperature condition for a process. The method includes delivering a wafer to the pedestal of the process module by a robot, and detecting an entry offset. The method includes rotating the wafer over the pedestal by an angle. The method includes removing the wafer from the pedestal by the robot and measuring an exit offset. The method includes determining a magnitude and direction of the temperature induced offset using the entry offset and exit offset.

A charged particle beam apparatus includes a sample stage on which a sample is mounted, a control device that controls to drive the sample stage, a linear scale that detects a position of the sample stage, laser position detection means for detecting the position of the sample stage, an optical microscope that observes the sample mounted on the sample stage, and a barrel that irradiates the sample mounted on the sample stage with an electron beam, and generates a secondary electron. Image data of a first correction sample mounted on the sample stage is acquired by the optical microscope, and position data of the sample stage is detected by the laser position detection means. The sample stage is positioned with respect to the barrel based on the image data acquired by the optical microscope and the position data of the sample stage detected by the laser position detection means.