Abstract: Analyzing a sidewall of a hole milled in a sample to determine thickness of a buried layer includes milling the hole in the sample using a charged particle beam of a focused ion beam (FIB) column to expose the buried layer along the sidewall of the hole. After milling, the sidewall of the hole has a known slope angle. From a perspective relative to a surface of the sample, a distance is measured between a first point on the sidewall corresponding to an upper surface of the buried layer and a second point on the sidewall corresponding to a lower surface of the buried layer. The thickness of the buried layer is determined using the known slope angle of the sidewall, the distance, and the angle relative to the surface of the sample.

Abstract: A method of evaluating a region of interest of a sample with a sample evaluation tool that includes a focused ion beam (FIB) column, a scanning electron microscope (SEM) column, and an atomic force microscope (AFM) instrument, the method comprising: transferring the sample into in a vacuum chamber of the sample evaluation tool; acquiring a plurality of two-dimensional images of the region of interest over a plurality of iterations of a delayering process by: (a) positioning the region of interest under a field of view of the FIB column; (b) milling a layer of material from the region of interest with the FIB column; (c) moving the region of interest under a field of view of the SEM column; (d) imaging the region of interest with the SEM column and measuring a depth of the milled layer in the region of interest with the AFM instrument; and repeating steps (a)-(d) a plurality of times without removing the sample from the vacuum chamber.

Abstract: A method of automatic optimization of an examination recipe includes obtaining inspection data of a given layer of a semiconductor specimen acquired by an inspection tool during runtime examination, the inspection data including inspection images representative of defect candidates from a defect map of the given layer, extracting inspection features characterizing the inspection images, and using a classifier to classify the defect candidates based on the inspection features, giving rise to a list of defect candidates having a higher probability of being defects of interest (DOIs).

Abstract: A system for processing a sample comprising: a vacuum chamber having a window formed along one of its walls; a sample support configured to hold a sample within the vacuum chamber during a sample processing operation and move the substrate within the vacuum chamber along the X, Y and Z axes; a charged particle beam column configured to direct a charged particle beam into the vacuum chamber and focus the beam to collide with a region of interest on the sample; an optical distance measurement device configured to generate and direct electromagnetic radiation into the vacuum chamber through the window, detect photons from the electromagnetic radiation reflected off the sample, and determine a working distance between the sample and charged particle column based on the generated electromagnetic radiation and the detected photons; and one or more mirrors disposed within the vacuum chamber and positioned to direct the electromagnetic radiation generated by the optical distance measurement system to a measured locat

Abstract: A method of operating a substrate processing system that includes a substrate processing chamber, a substrate storage container and robot configured to select a substrate from the substrate storage container and transfer a selected substrate into the substrate processing chamber, the method comprising: detecting a lower edge and upper edge of the substrate; calculating a thickness of the substrate based on the detected lower and upper edges of the substrate; comparing the calculated thickness of the substrate to an expected thickness of the substrate; and (i) if the calculated thickness matches the expected thickness, controlling the robot to transfer the substrate into the substrate processing chamber, (ii) if the calculated thickness does not match the expected thickness, generating an alert indicating a thickness mismatch.

Abstract: There is provided a system and method of examination of a semiconductor specimen, comprising: obtaining a sequence of frames of an area of the specimen acquired by an electron beam tool configured to scan the area from a plurality of directions, the sequence comprising a plurality of sets of frames each acquired from a respective direction; and registering the plurality of sets of frames and generating an image of the specimen based on result of the registration, comprising: performing, for each direction, a first registration among the set of frames acquired therefrom, and combining the registered set of frames to generate a first composite frame, giving rise to a plurality of first composite frames respectively corresponding to the plurality of directions; and performing a second registration among the plurality of first composite frames, and combining the registered plurality of first composite frames to generate the image of the specimen.

Abstract: There is provided a system and method of assisting defect detection on a semiconductor specimen. The method includes obtaining a first map informative of multiple care areas (CAs) to be inspected on a die; creating a plurality of bounding rectangles (BRs) enclosing the multiple CAs; and compacting the plurality of BRs to a set of compacted rectangles to meet a predefined inspection capacity while attempting to minimize a non-CA area enclosed by the set of compacted rectangles, giving rise to a second map informative of the set of compacted rectangles. The compaction comprises constructing an R-tree structure representative of the plurality of BRs and compacted rectangles, and selecting a set of nodes from the R-tree structure based on the predefined inspection capacity and representative of the set of compacted rectangles. The second map is usable for filtering a defect map indicative of defect candidate distribution on the die.

Abstract: There is provided a mask inspection system and a method of mask inspection. The method comprises: detecting, by the inspection tool, a runtime defect at a defect location on a mask of a semiconductor specimen during runtime scan of the mask, and acquiring, by the inspection tool after runtime and based on the defect location, a plurality sets of aerial images of the runtime defect corresponding to a plurality of focus states throughout a focus process window, each set of aerial images acquired at a respective focus state. The method further comprises for each set of aerial images, calculating a statistic-based EPD value of the runtime defect, thereby giving rise to a plurality of statistic-based EPD values each corresponding to a respective focus state, and determining whether the runtime defect is a true defect based on the plurality of statistic-based EPD values.

Abstract: A method of determining the depth of a hole milled into a first region of a sample, the method comprising: positioning the sample in a processing chamber having a charged particle beam column; depositing material directly over a top surface of the sample in a second region of the sample adjacent to the first region; milling the hole in the first region of the sample using a charged particle beam generated by the charged particle beam column, wherein the hole abuts the material deposited over the top surface and includes a sidewall that extends from a bottom surface of the hole to an interface between the deposited material and the top surface of the sample; and using stereoscopic measurement techniques to calculate the depth of the hole based on distance measurements between a first point along an interface between the material and the top surface and a second point along a bottom surface of the hole.

Abstract: A method for evaluating an impedance related value of a structure of a sample, the method includes: (i) performing a first illumination iteration that includes charging the structure with an illumination iteration charge; (ii) performing a second illumination iteration that includes imaging the structure to provide an image of the structure; a value of the illumination iteration charge and a value of a time difference between step (i) and step (ii) are determined to introduce a dependency between an impedance of the structure and the image of the structure; wherein steps (i) and (ii) are executed using an electron beam, and (iii) determining the impedance related value of the structure based on the image of the structure. There may be three or more values of the impedance related value.

Abstract: A method for phase retrieval, the method may include (a) obtaining multiple out-of-focus intensity images of one or more point spread function targets; wherein the out-of-focus intensity images are generated by based on residual collected light signals obtained by a residual collection channel of an optical unit having a numerical aperture that exceeds 0.8; and (b) calculating phase information, based on the multiple out-of-focus intensity images and on a vectorial model of the point spread function.

Abstract: A method of milling a diagonal cut in a region of a sample, the method comprising: positioning the sample in a processing chamber having a charged particle beam column; moving the region of the sample under a field of view of the charged particle column; generating a charged particle beam with the charged particle beam column and scanning the charged particle beam over the region of the sample along scan lines arranged parallel to a slope of the diagonal cut; and repeating the generating and scanning step a plurality of times to mill the diagonal cut in the region of the sample; wherein, for each iteration of the generating and scanning steps, a velocity of the charged particle beam is slower when the beam is near a deep end of the diagonal cut than when the beam is near a shallow end of the diagonal cut.

Abstract: There is provided a system and method of runtime defect examination of a semiconductor specimen, comprising obtaining a first image representative of at least part of the semiconductor specimen, the first image acquired by an examination tool configured with a first focus plane; estimating whether the first image is in focus using a machine learning (ML) model, wherein the ML model is previously trained for classifying images into focused images and defocused images; upon an estimation that the first image is out of focus, performing focus calibration on the examination tool to select a second focus plane associated with an optimal focus score; and obtaining a second image acquired by the examination tool configured with the second focus plane, and estimating whether the second image is in focus using the ML model. The second image, upon being estimated as being in focus, is usable for defect examination on the specimen.

Abstract: There is provided a system and a method comprising obtaining a first (respectively second) image of an area of the semiconductor specimen acquired by an electron beam examination tool at a first (respectively second) illumination angle, determining a plurality of height values informative of a height profile of the specimen in the area, the determination comprising solving an optimization problem which comprises a plurality of functions, each function being representative of a difference between data informative of a grey level intensity at a first location in the first image and data informative of a grey level intensity at a second location in the second image, wherein, for each function, the second location is determined with respect to the first location, or conversely, when solving the optimization problem, wherein a distance between the first and the second locations depends on the height profile, and the first and second illumination angles.

Abstract: A method of depositing material over a localized region of a sample comprising: positioning a sample within a vacuum chamber such that the localized region is under a field of view of a charged particle beam column; injecting a deposition precursor gas, with a gas injection nozzle, into the vacuum chamber at a location adjacent to the deposition region; generating a charged particle beam with the charged particle beam column and focusing the charged particle beam within the deposition region of the sample; and scanning the charged particle beam across the deposition region of the sample to activate molecules of the deposition gas that have adhered to the sample surface in the deposition region and deposit material on the sample within the deposition region; and applying a negative bias voltage to the gas injection nozzle while the focused ion beam is scanned across the deposition region to alter a trajectory of the secondary electrons and repel the secondary electrons back to the sample surface.

Abstract: A system, method and computer readable medium for examining a specimen, the method comprising: obtaining defects of interest (DOIs) and false alarms (FAs) from a review subset selected from a group of potential defects received from an inspection tool, each potential defect is associated with attribute values defining a location of the potential defect in an attribute space; generating a representative subset of the group, comprising potential defects selected in accordance with a distribution of the potential defects within the attribute space, and indicating the potential defects in the representative subset as FA; and training a classifier using data informative of the attribute values of the DOIs, the potential defects of the representative subset, and respective indications thereof as DOIs or FAs, wherein the trained classifier is to be applied to at least some of the potential defects to obtain an estimation of a number of expected DOIs.

Abstract: A gas injection nozzle that includes an elongated gas conduit that comprises: a first gas conduit segment configured to be coupled with a gas reservoir; a second gas conduit segment fluidly coupled to the first gas conduit segment and defining a downward curve of the elongated gas conduit; a third gas conduit segment defining an upward curve of the elongated gas conduit that extends to a sealed end and is disposed in a mirrored relationship with at least a portion of the second gas conduit; and a central gas conduit segment coupled between the second and third gas conduit segments, the central gas conduit segment having a first aperture formed in an upper surface of the central gas conduit and a second aperture, larger than the first aperture, formed in a lower surface of the central gas conduit directly across from the first aperture, wherein the elongated gas conduit has a first diameter along a portion of its length that includes at least the second, third and central gas conduit segments and wherein the c

Abstract: Disclosed herein is a system for non-destructive depth-profiling of samples. The system includes: (i) an electron beam (e-beam) source for projecting e-beams at each of a plurality of landing energies on an inspected sample; (ii) an electron sensor for obtaining a measured set of electron intensities pertaining to each of the landing energies; and (iii) processing circuitry for determining a set of structural parameters, which characterizes an internal geometry and/or a composition of the inspected sample, based on the measured set of electron intensities and taking into account reference data indicative of an intended design of the inspected sample.

Abstract: Disclosed herein is a computer-based method for non-destructive depth-profiling of samples. The method includes a measurement operation and a data analysis operation. The measurement operation includes, for each of a plurality of landing energies: (i) projecting an electron beam on a sample, which penetrates the sample to a respective depth determined by the landing energy, and (ii) sensing electrons returned from the sample, thereby obtaining a respective sensed electrons data set. The data analysis operation includes generating from the sensed electrons data sets a concentration map, which characterizing at least a vertical dimension of the sample.

Abstract: Disclosed herein is a system for non-destructive depth-profiling of samples. The system includes an electron beam source, a light sensor, and processing circuitry. The electron beam source configured to project e-beams on an inspected sample at each of a plurality of landing energies, which induce X-ray emitting interactions within each of a plurality of probed regions in the inspected sample, respectively, whose depth is determined by the landing energy. The light sensor is configured to measure the emitted X-ray light to obtain optical emission data sets pertaining to each of the probed regions, respectively. The processing circuitry is configured to determine a set of structural parameters, characterizing an internal geometry and/or a composition of the inspected sample, based on the measured optical emission data sets and taking into account reference data indicative of an intended design of the inspected sample.