A multi-beam scanning electron microscopy (SEM) system is disclosed. The system includes an electron beam source configured to generate a source electron beam. The system includes a set of electron-optical elements configured to generate a flood electron beam from the source electron beam. The system includes a multi-beam lens array with a plurality of electron-optical pathways configured to split the flood electron beam into a plurality of primary electron beams, and a plurality of electrically-charged array layers configured to adjust at least some of the plurality of primary electron beams. The system includes a set of electron-optical elements configured to direct at least some of the plurality of primary electron beams onto a surface of a sample secured by a stage. The system includes a detector array configured to detect a plurality of electrons emanated from the surface of the sample in response to the plurality of primary electron beams.

In this invention, information of material composition, process conditions and candidates of crystal structure either known or imported from material database is used to determine sample stage tilt angle and working distance (WD). Under these determined tilt angle and WD, the intensity of the electrons emitted at different angles and with different energies is measured using a scanning electron microscope (SEM) system comprising: a use of materials database containing materials composition, formation process, crystal structure and its electron yield; a sample stage that is able to move, rotate and tilt; an processing section for calculating optimum working distance for an observation from material database and measurement condition; means for acquiring an image of crystal information of a desired area of a sample based on an image obtained from SEM observation.

A method for measuring critical dimension is provided. The method includes the steps of: receiving a critical-dimension scanning electron microscopy (CD-SEM) image of a semiconductor wafer; performing an image-sharpening process and an image de-noise process on the CD-SEM image to generate a first image; performing an edge detection process on the first image to generate a second image; performing a connected-component labeling process on the second image to generate an output image; and calculating a critical-dimension information table of the semiconductor wafer according to the output image.

Adjustable resolution electron energy loss spectroscopy methods and apparatus are disclosed herein. An example method includes operating an electron microscope in a first state, the first state including operating a source of the electron microscope at a first temperature, obtaining, by the electron microscope, a first EELS spectrum of a sample at a first resolution, the first resolution based on the first temperature, operating the electron microscope in a second state, the second state including operating the source of the electron microscope at a second temperature, the second temperature different than the first temperature, and obtaining, by the electron microscope, a second EELS spectrum of the sample at a second resolution, the second resolution based on the second temperature, wherein the second resolution is different than the first resolution.

A multi-beam apparatus for observing a sample with oblique illumination is proposed. In the apparatus, a new source-conversion unit changes a single electron source into a slant virtual multi-source array, a primary projection imaging system projects the array to form plural probe spots on the sample with oblique illumination, and a condenser lens adjusts the currents of the plural probe spots. In the source-conversion unit, the image-forming means not only forms the slant virtual multi-source array, but also compensates the off-axis aberrations of the plurality of probe spots. The apparatus can provide dark-field images and/or bright-field images of the sample.

Sample preparation system and method which enable electron microscope observation of a sample slice with simple structure and process are provided. The sample preparation system includes at least one of a plasma treatment apparatus and a sputtering apparatus, as well as a slice collecting apparatus. The plasma treatment apparatus is configured to feed a resin tape in a plasma irradiation area to irradiate the resin tape with plasma, thereby continuously hydrophilizing the resin tape. The sputtering apparatus is configured to feed the resin tape in a sputtering area to continuously perform sputtering on the resin tape, thereby imparting conductivity to the resin tape. The slice collecting apparatus is configured to serially collect slices cut out from a sample onto the resin tape having been subjected to plasma treatment or sputtering.

A method for detecting crystal defects includes scanning a first FOV on a first sample using a charged particle beam with a plurality of different tilt angles. BSE emitted from the first sample are detected and a first image of the first FOV is created. A first area within the first image is identified where signals from the BSE are lower than other areas of the first image. A second FOV on a second sample is scanned using approximately the same tilt angles or deflections as those used to scan the first area. The BSE emitted from the second sample are detected and a second image of the second FOV is created. Crystal defects within the second sample are identified by identifying areas within the second image where signals from the BSE are different than other areas of the second image.

Systems and methods are disclosed that remove noise from roughness measurements to determine roughness of a feature in a pattern structure. In one embodiment, a method for determining roughness of a feature in a pattern structure includes generating, using an imaging device, a set of one or more images, each including measured linescan information that includes noise. The method also includes detecting edges of the features within the pattern structure of each image without filtering the images, generating a biased power spectral density (PSD) dataset representing feature geometry information corresponding to the edge detection measurements, evaluating a high-frequency portion of the biased PSD dataset to determine a noise model for predicting noise over all frequencies of the biased PSD dataset, and subtracting the noise predicted by the determined noise model from a biased roughness measure to obtain an unbiased roughness measure.

A method for detecting crystal defects includes scanning a first FOV on a first sample using a charged particle beam with a plurality of different tilt angles. BSE emitted from the first sample are detected and a first image of the first FOV is created. A first area within the first image is identified where signals from the BSE are lower than other areas of the first image. A second FOV on a second sample is scanned using approximately the same tilt angles or deflections as those used to scan the first area. The BSE emitted from the second sample are detected and a second image of the second FOV is created. Crystal defects within the second sample are identified by identifying areas within the second image where signals from the BSE are different than other areas of the second image.

A structure for grounding an extreme ultraviolet mask (EUV mask) is provided to discharge the EUV mask during the inspection by an electron beam inspection tool. The structure for grounding an EUV mask includes at least one grounding pin to contact conductive areas on the EUV mask, wherein the EUV mask may have further conductive layer on sidewalls or/and back side. The inspection quality of the EUV mask is enhanced by using the electron beam inspection system because the accumulated charging on the EUV mask is grounded. The reflective surface of the EUV mask on a continuously moving stage is scanned by using the electron beam simultaneously. The moving direction of the stage is perpendicular to the scanning direction of the electron beam.