A system includes a multi-beam particle microscope for imaging a 3D sample layer by layer, and a computer system with a multi-tier architecture is disclosed. The multi-tier architecture can allow for an optimized image processing by gradually reducing the amount of parallel processing speed when data exchange between different processing systems and/or of data originating from different detection channels takes place. A method images a 3D sample layer by layer. A computer program product includes a program code for carrying out the method.

Assessment systems and methods are disclosed. In one arrangement, charged particles are directed in sub-beams arranged in a multi-beam towards a sample. A plurality of control electrodes define a control lens array. Each control lens in the control lens array is aligned with a sub-beam path of a respective sub-beam of the multi-beam and configured to operate on the respective sub-beam. A plurality of objective electrodes define an objective lens array that directs the sub-beams onto a sample. Objective lenses are aligned with a sub-beam path aligned with a respective control lens. Selectable landing energies are implemented for a sub-beam of the multi-beam by applying corresponding potentials to the control electrodes and the objective electrodes. A controller is configured to select corresponding potentials so a spatial relationship between an image plane of the system and all control electrodes and objective electrodes is the same for each selectable landing energy.

Charging areas in electron microscopy are identified by comparing images obtained in different frames. A difference image or one or more optical flow parameters can be used for the comparison. If charging is detected, electron dose is adjusted, typically just in specimen areas associated with charging. Dose is conveniently adjusted by adjusting electron beam dwell time. Upon adjustment, a final image is obtained, with charging effects eliminated or reduced.

A method of automated data acquisition for a transmission electron microscope, the method comprising: obtaining a reference image of a sample at a first magnification; for each of a first plurality of target locations identified in the reference image: steering an electron beam of the transmission electron microscope to the target location, obtaining a calibration image of the sample at a second magnification greater than the first magnification, and using image processing techniques to identify an apparent shift between an expected position of the target location in the calibration image and an observed position of the target location in the calibration image, training a non-linear model using the first plurality of target locations and the corresponding apparent shifts; based on the non-linear model, calculating a calibrated target location for a next target location; steering the electron beam to the calibrated target location and obtaining an image at a third magnification greater than the first magnification.

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 system and method is provided for of characterizing nanostructured surfaces. A nanostructure sample is placed in an SEM chamber and imaged. The system and method locates one of the nanostructures using images from the SEM imaging, excises a top portion of the nanostructure, places said top portion on a substrate such that the nanostructures are perpendicular to the substrate and a base of the top portion contacts the substrate, performs high energy ion beam assisted deposition of metal at the base to attach the top portion to the substrate, SEM imaging the top portions in the SEM chamber, determining coordinates of the top portions relative to the substrate from the SEM imaging of the top portions, placing the substrate in an AFM chamber, and performing AFM imaging of the top portions using the coordinates previously determined.

An electron reflectometer includes: a sample stage; a source that produces source electrons; a source collimator; and an electron detector that receives collimated reflected electrons.

A method includes: generating a multiplicity of particle beams such that the particle beams penetrate a predetermined plane side-by-side and have within a volume region around the predetermined plane in each case one beam focus; scanning a first region of the surface of an object with the particle beams and detecting first intensities of particles produced by the particle beams while setting an operating parameter of the multi-beam particle microscope; and determining first values of an object property based on the first intensities. The first values represent the object property within the first region, and the object property represents a physical property of the object. The method also includes determining a second value of the operating parameter for use for a second region of the surface based on the first values of the object property.

Techniques for adapting an adaptive specimen image acquisition system using an artificial neural network (ANN) are disclosed. An adaptive specimen image acquisition system is configurable to scan a specimen to produce images of varying qualities. An adaptive specimen image acquisition system first scans a specimen to produce a low-quality image. An ANN identifies objects of interest within the specimen image. A scan mask indicates regions of the image corresponding to the objects of interest. The adaptive specimen image acquisition system scans only the regions of the image corresponding to the objects of interest, as indicated by the scan mask, to produce a high-quality image. The low-quality image and the high-quality image are merged in a final image. The final image shows the objects of interest at a higher quality, and the rest of the specimen at a lower quality.

There is provided an electron microscope capable of recording images in a shorter time. The electron microscope (100) includes: an illumination system (4) for illuminating a sample (S) with an electron beam; an imaging system (6) for focusing electrons transmitted through the sample (S); an electron deflector (24) for deflecting the electrons transmitted through the sample (S); an imager (28) having a photosensitive surface (29) for detecting the electrons transmitted through the sample (S), the imager (28) being operative to record focused images formed by the electrons transmitted through the sample (S); and a controller (30) for controlling the electron deflector (24) such that an active electron incident region (2) of the photosensitive surface (29) currently hit by the beam is varied in response to variations in illumination conditions of the illumination system (4).