Using a segmented detector having detection regions enables an observation of atoms in a specimen with a high contrast. A scanning transmission electron microscope system 100 scans an electron beam EB over a specimen S, uses a segmented detector 105 having detection regions disposed in a bright-field area to detect electrons transmitted through and scattered from the specimen S for each detection region, generates segmented images based on results of detecting the electrons in the detection regions, and applies filters determined based on a signal-to-noise ratio to the segmented images to generate a reconstructed image. The signal-to-noise ratio is proportional to an absolute value of a total phase contrast transfer function normalized by a noise level, the total phase contrast transfer function being defined by product-sum operation of complex phase contrast transfer functions and weight coefficients for the detection regions. The filters are determined based on the weight coefficients that yield a maximum of the signal-to-noise ratio.

In one embodiment, a method includes generating a model trained to predict a low-probability stochastic defect, using the model to predict the low-probability stochastic defect, determining a process window based on the low-probability stochastic defect, and controlling, based on the process window, a lithography tool to manufacture a device.

In one embodiment, a method includes generating a model trained to predict a low-probability stochastic defect, calibrating, using unbiased measurement data, the model to a specific lithography process, patterning process, or both to generate a calibrated model, using the calibrated model to predict the low-probability stochastic defect; and modifying, based on the low-probability stochastic defect, a variable, parameter, setting, or some combination of a manufacturing process of a device.

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.

A system and method for imaging a biological sample using a freezable fluid cell system is disclosed. The freezable fluid cell comprises a top chip, a bottom chip, and a spacer to control the thickness of a vitrified biological sample. The spacer is positioned between the top chip and the bottom chip to define a channel that is in fluid communication with an inlet port and an exit port to the freezable fluid cell system. The channel can be filled with a biological sample, vitrified, and imaged to produce high-resolution electron microscopic image.

A method of determining a beam convergence of a charged particle beam (11) focused by a focusing lens (120) toward a sample (10) in a charged particle beam system (100) is provided. The method includes (a) taking one or more images of the sample when the sample is arranged at one or more defocus distances from a respective beam focus of the charged particle beam; (b) retrieving one or more beam cross sections from the one or more images; (c) determining one or more beam widths from the one or more beam cross sections; and (d) calculating at least one beam convergence value based on the one or more beam widths and the one or more defocus distances. Further, a charged particle beam system for imaging and/or inspecting a sample that is configured for any of the methods described herein is provided.

There is provided a beam alignment method capable of easily aligning an electron beam with a coma-free axis in an electron microscope. The method starts with tilting the electron beam (EB) in a first direction (+X) relative to a reference axis (A) and obtaining a first TEM (transmission electron microscope) image. Then, the beam is tilted in a second direction (−X) relative to the reference axis, the second direction (−X) being on the opposite side of the reference axis (A) from the first direction (+X), and a second TEM image is obtained. The reference axis is incrementally varied so as to reduce the brightness of the differential image between a power spectrum of the first TEM image and a power spectrum of the second TEM image.

The method is for automatic astigmatism correction of a lens system. A first image of a first frequency spectrum in a microscope is provided. The first image of a view is not in focus. The first image is then imaged. A first roundness measure of a distribution and directions of intensities in the first image is determined. The lens is changed to a second stigmator setting to provide a second image of a second frequency spectrum. The second image of the view is not in focus. The second image is the same view as the first image of the view at the first stigmator setting. A second roundness measure of a distribution and directions of intensities in the second image is determined. The first roundness measure is compared with the second roundness measure. The image with the roundness measure indicating the roundest distribution is selected.

The objective of the present invention is to reduce differences between individual electron beam observation devices accurately by means of image correction. This method for calculating a correction factor for correcting images between a plurality of electron beam observation devices; in electron beam observation devices which generate images by scanning an electron beam across a specimen, is characterized by including: a step in which a first electron beam observation device generates a first image by scanning a first electron beam across first and second patterns, on either a specimen including the first pattern and the second pattern, having a different shape or size to the first pattern, or a first specimen including the first pattern and a second specimen including the second pattern; a step in which a second electron beam observation device generates a second image by scanning a second electron beam across the first and second patterns; and a step in which the first or second electron beam observation device calculates a correction factor at a peak frequency extracted selectively from first and second frequency characteristics calculated on the basis of the first and second images.

An analysis method using an electron microscope, detects by a first electronography detector an electron beam transmitted through or scattered by a sample to detect an ADF image of the sample, detects by a second electronography detector the electron beam passing through the first electronography detector to detect an MABF image, adjusts a focal point of the electron beam to be located on the film of the sample to obtain first and second electronographies by the second and first electronography detectors, respectively, adjusts the focal point of the electron beam to be located on the substrate of the sample to obtain third and fourth electronographies by the second and first electronography detectors, respectively, aligns positions of the second and fourth electronographies based on the first and third electronographies, and after the aligning, subtracts the fourth electronography from the second electronography to obtain an image of the film.