Patent classifications
H01J2237/226
LIVE-ASSISTED IMAGE ACQUISITION METHOD AND SYSTEM WITH CHARGED PARTICLE MICROSCOPY
A method of imaging a sample includes acquiring one or more first images of a region of the sample at a first imaging condition with a charged particle microscope system. The one or more first images are applied to an input of a trained machine learning model to obtain a predicted image indicating atom structure probability in the region of the sample. An enhanced image indicating atom locations in the region of the sample based on the atom structure probability in the predicted image is caused to be displayed in response to obtaining the predicted image.
ROTATING SAMPLE HOLDER FOR RANDOM ANGLE SAMPLING IN TOMOGRAPHY
A sample holder retains a sample and can continuously rotate the sample in a single direction while the sample is exposed to a charged particle beam (CPB) or other radiation source. Typically, the CPB is strobed to produce a series of CPB images at random or arbitrary angles of rotation. The sample holder can rotate more than one complete revolution of the sample. The CPB images are used in tomographic reconstruction, and in some cases, relative rotation angles are used in the reconstruction, without input of an absolute rotation angle.
Charged Particle Beam Device
A charged particle beam device capable of generating an image having uniform image quality in a field of view is provided. The charged particle beam device includes: a beam source configured to irradiate a sample with a charged particle beam; a diaphragm including an opening used for angle discrimination of secondary charged particles emitted from the sample; a first detector provided closer to the sample than the diaphragm, and configured to detect a part of the secondary charged particles; a second detector provided closer to the beam source than the diaphragm, and configured to detect secondary charged particles passing through the opening; an image generation unit configured to generate an image based on a first signal output from the first detector or a second signal output from the second detector; and a composite ratio calculation unit configured to calculate a composite ratio for each position in a field of view based on the first signal or the second signal with respect to a calibration sample that is a sample having a flat surface. The image generation unit generates a composite image by synthesizing the first signal and the second signal with respect to an observation sample using the composite ratio.
Method, computer program product, computer-readable medium and system for scanning partial regions of a sample using a scanning microscope
A method is useful for scanning partial regions of a sample by a scanning microscope, such as a laser scanning microscope or a scanning electron microscope, and for reconstructing an overall image of the sample from data of the scanned partial regions of the sample. The method includes: 1) determining partial regions of the sample, which are scanned by the scanning microscope, by a machine learning system which is trained by supervised learning, unsupervised learning, and/or reinforcement learning for improved determination of the partial regions of the sample which are scanned by the scanning microscope; 2) scanning the determined partial regions of the sample by the scanning microscope; and 3) reconstructing the overall image of the sample from the data of the scanned partial regions of the sample, wherein non-scanned partial regions of the sample are estimated by the data of the scanned partial regions of the sample.
Method for generating a result image
A method of generating a result image of an object using a particle beam system includes recording multiple primary images of a region of the object using the particle beam system. Recording of each of the primary images includes scanning the primary particle beam along a scan direction across the region and detecting secondary particles generated thereby. The scan directions used for recording at least one pair of two of the primary images differ at least by a first threshold value of at least 10°. The method also includes generating, based on the multiple primary images, the result image representing the region of the object.
METHOD OF RECORDING AN IMAGE USING A PARTICLE MICROSCOPE
A method, including: recording plural images of an object by scanning plural particle beams across the object and detecting signals generated by the particle beams, wherein the plural particle beams are generated by a multi-beam particle microscope; determining plural regions of interest; determining plural image regions in each of the recorded images; determining plural displacement vectors; and determining image distortions based on image data of the recorded images and the determined displacement vectors.
Methods and apparatus for performing profile metrology on semiconductor structures
Methods and apparatus for inspecting features on a substrate including exposing at least a portion of the substrate to a first electron beam landing energy to obtain a first image; exposing the at least a portion of the substrate to a second electron beam landing energy to obtain a second image, wherein the second electron beam landing energy is different from the first electron beam landing energy; realigning the first image and the second image to a feature on the substrate; and determining from at least one measurement from the first image associated with the feature and at least one measurement from the second image associated with the feature if the feature is leaning or twisting.
MICROSCOPY IMAGING METHOD AND SYSTEM
Linear fiducials including notches or chevrons with known angles relative to each other are formed such that each branch of a chevron appears in a cross-sectional face of the sample as a distinct structure. Therefore, when imaging the cross-section face during the cross-sectioning operation, the distance between the identified structures allows unique identification of the position of the cross-section plane along the Z axis. Then a direct measurement of the actual position of each slice can be calculated, allowing for dynamic repositioning to account for drift in the plane of the sample and also dynamic adjustment of the forward advancement rate of the FIB to account for variations in the sample, microscope, microscope environment, etc. that contributes to drift. An additional result of this approach is the ability to dynamically calculate the actual thickness of each acquired slice as it is acquired.
Holography reconstruction method and program
A lensless Fourier transform holography high accuracy reconstruction method using a charged particle beam apparatus which holds a sample on a diffraction surface of a diffraction grating provided on the downstream side of a traveling direction of the charged particle beam and which is formed of a material having permeability. The charged particle beam passed through the diffraction surface is image-formed, and the formed image is detected. An opening region of the diffraction grating is smaller than an irradiation region of the charged particle beam on the diffraction grating. Image data is obtained in a state where the irradiation region of the charged particle beam diffracted with the diffraction grating is within the irradiation region of the charged particle beam transmitted through the diffraction grating. Plural holograms obtained based on the image data are Fourier transformed and an intensity distribution image is displayed and stored.
Diffraction pattern detection in a transmission charged particle microscope
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.