Methods for correcting one or more image aberrations in an electron microscopy image, including cryo-EM images, are provided. The method includes obtaining a plurality of electron microscope (EM) images of an internal reference grid sample having one or more known properties, the plurality of electron microscope images obtained for a plurality of optical conditions and for a plurality of coordinated beam-image shifts. The method may also include, among other features, determining an aberration correction function that predicts aberrations for every point in the imaged area using kernel canonical correlation analysis (KCCA).

In one embodiment, a method includes receiving measured linescan information describing a pattern structure of a feature, applying the received measured linescan information to an inverse linescan model that relates measured linescan information to feature geometry information, and identifying, based at least in part on the applying the received measured linescan model to the inverse linescan model, feature geometry information that describes a feature that would produce a linescan corresponding to the received measured linescan information. The method also includes determining, at least in part using the inverse linescan model, feature edge positions of the identified feature, analyzing the feature edge positions to determine errors in the manufacture of the pattern structure, and controlling a lithography tool based on the analysis of the feature edge positions.

A system and method involve applying an electron beam to a sample and obtaining an image of the sample with the applied electron beam. An orientation of the sample relative to the sample's zone axis is automatically determined based on a distribution of reflections in the image. The orientation of the sample is automatically adjusted to align with the sample's zone axis based on the determined orientation.

A charged particle beam apparatus with improved depth of focus and maintained/improved resolution has a charged particle source, an off-axis illumination aperture, a lens, a computer, and a memory unit. The apparatus acquires an image by detecting a signal generated by irradiating a sample with a charged particle beam caused from the charged particle source via the off-axis illumination aperture. The computer has a beam-computing-process unit to estimate a beam profile of the charged particle beam and an image-sharpening-process unit to sharpen the image using the estimated beam profile.

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.

There are disclosed an aberration correction method and a charged particle beam system capable of correcting off-axis first order aberrations. The aberration correction method is for use in the charged particle beam system (100) equipped with an aberration corrector (30) which has plural stages of multipole elements (32a, 32b) and a transfer lens system (34) disposed between the multipole elements (32a, 32b). The method includes varying the excitation of the transfer lens system (34) and correcting off-axis first order aberrations.

Disclosed herein are scientific instrument support systems, as well as related methods, apparatus, computing devices, and computer-readable media. For example, some embodiments provide a scientific instrument comprising an ion-beam instrument configured to generate an ion beam including first and second sub-beams; an electron-beam instrument including a charged-particle-beam (CPB) lens having an adjustable setting controlling a magnetic force applied to the first and second sub-beams; and a computing device. The computing device is configured to: acquire an image by causing the ion-beam instrument to scan the ion beam across a sample using a selected setting of the CPB lens of the electron-beam instrument, apply automated image processing to the image to quantify an amount of spatial misalignment of the first and second sub-beams at the sample, and control the CPB lens of the electron-beam instrument to a setting based on the amount of spatial misalignment within the image.

An observation method using a scanning transmission electron microscope for scanning an electron beam over a specimen and detecting electrons transmitted through the specimen includes: acquiring results of detecting the electrons transmitted through the specimen using a segmented detector having detection regions disposed in a bright-field area; and generating segmented images based on the results of detecting the electrons in the detection regions, and applying 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 phase contrast transfer functions expressed by complex numbers and weight coefficients for the detection regions. The filters for the detection regions are determined based on the weight coefficients that yield a maximum of the signal-to-noise ratio.

A method of determining an energy spectrum or energy width of a charged particle beam (11) focused by a focusing lens (120) toward a sample plane (p.sub.S) in a charged particle beam imaging device is described. The method includes (a) introducing an energy-dependent deflection of the charged particle beam (11) that leads to a spot broadening along a dispersion axis in the sample plane (p.sub.S), and taking an image of a sample (10) arranged in the sample plane using the charged particle beam; (b) retrieving a beam profile of the charged particle beam from the image; and (c) determining the energy spectrum or energy width from the beam profile. Further embodiments described herein relate to a charged particle beam imaging device configured to determine the energy spectrum or energy width of a charged particle beam, particularly according to any of the methods described herein.

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.