Techniques of using a Transmission Charged Particle Microscope for diffraction pattern detection are disclosed. An example method including irradiating at least a portion of a specimen with a charged particle beam, using an imaging system to collect charged particles that traverse the specimen during said irradiation, and to direct them onto a detector configured to operate in a particle counting mode, using said detector to record a diffraction pattern of said irradiated portion of the specimen, recording said diffraction pattern iteratively in a series of successive detection frames, and during recording of each frame, using a scanning assembly for causing relative motion of said diffraction pattern and said detector, so as to cause each local intensity maximum in said pattern to trace out a locus on said detector.

Techniques of using a Transmission Charged Particle Microscope for diffraction pattern detection are disclosed. An example method including irradiating at least a portion of a specimen with a charged particle beam, using an imaging system to collect charged particles that traverse the specimen during said irradiation, and to direct them onto a detector configured to operate in a particle counting mode, using said detector to record a diffraction pattern of said irradiated portion of the specimen, recording said diffraction pattern iteratively in a series of successive detection frames, and during recording of each frame, using a scanning assembly for causing relative motion of said diffraction pattern and said detector, so as to cause each local intensity maximum in said pattern to trace out a locus on said detector.

This cross-section observation device bombards an object with a charged particle beam to repeatedly expose cross-sections of the object, bombards at least some of the cross-sections from among the plurality of the exposed cross-sections with a charged particle beam to acquire cross-sectional image information describing each of the at least some of the cross-sections, generates for each of these cross-sections a cross-sectional image described by the cross-sectional image information acquired, and generates a three-dimensional image in which the generated cross-sectional images are stacked together. This cross-section observation device displays a first three-dimensional image along with a second three-dimensional image, the first three-dimensional image being a three-dimensional image from the stacking of first cross-sectional images, which are cross-sectional images of the cross-sections described by the corresponding cross-sectional image information acquired on the basis of a first condition, and the second three-dimensional image being a three-dimensional image from the stacking of second cross-sectional images, which are cross-sectional images of the cross-sections described by the corresponding cross-sectional image information acquired on the basis of a second condition.

A measuring apparatus that irradiates a sample with a charged particle beam to observe the sample includes a particle source that outputs the charged particle beam, a lens that collects the charged particle beam, a detector that detects a signal of emitted electrons emitted from the sample which is irradiated with the charged particle beam, and a control device that controls the output of the charged particle beam and the detection of the signal of the emitted electrons in accordance with an observation condition, in which the control device sets, as the observation condition, a first parameter for controlling an irradiation cycle of the charged particle beam, a second parameter for controlling a pulse width of the pulsed charged particle beam, and a third parameter for controlling detection timing of the signal of the emitted electron within the irradiation time of the pulsed charged particle beam, and the third parameter is determined in accordance with a difference in intensity of signals of the plurality of the emitted electrons emitted from the irradiation position of the charged particle beam.

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.

Techniques for multi-beam scanning transmission charged particle microscopy are disclosed herein. An example apparatus at least includes a charged particle beam column to produce a plurality of charged particle beams and irradiate a specimen with each of the plurality of charged particle beams, and an imaging system to collect charged particles of each of the charged particle beams of the plurality of charged particle beams that traverse the specimen during said irradiation, and to direct each charged particle beam of the plurality of the charged particle beams after traversing the sample onto a detector, where each charged particle beam includes a barycenter, and where the detector is disposed in an intermediate location between a back focal plane and an imaging plane of the imaging system.

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.

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.

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 method comprises: using a Scanning Electron Microscope (SEM) to acquire an image of a specimen; identifying one or more objects of interest within the SEM image; generating a scan mask indicating a first set of one or more regions corresponding to the identified one or more objects of interest; and based on the scan mask, providing instructions to the SEM to acquire one or more Electron Backscatter Diffraction (EBSD) images from the first set of one or more regions of the specimen, wherein the method is performed by at least one device including a hardware processor.