System and method for handling cryo-charged particle samples

    公开(公告)号:US11802823B2

    公开(公告)日:2023-10-31

    申请号:US17523246

    申请日:2021-11-10

    Applicant: FEI Company

    CPC classification number: G01N1/42 H01J37/20 H01J37/26 H01J2237/2007

    Abstract: The invention relates to a Cryo-Charged Particle (CCP) sample handling and storage system. The system is used for storing and handling cryo-samples for use in charged particle microscopy, such as cryo-electron microscope samples for use in cryo-transmission electron microscopy. The system comprises a storage apparatus for storing a plurality of CCP samples, and a Charged Particle Apparatus (CPA), such as a cryo-TEM, at a location remote from said storage apparatus. The system further comprises a transfer device that is releasably connectable to said storage apparatus, and that is releasably connectable to said CPA as well. As defined herein, said transfer device is arranged for acquiring a CCP sample from said plurality of CCP samples when connected to said storage apparatus, and arranged for transferring said CCP sample from said transfer device to said CPA when connected to said CPA.

    Systems and methods for quantum computing based sample analysis

    公开(公告)号:US11799486B2

    公开(公告)日:2023-10-24

    申请号:US17964916

    申请日:2022-10-13

    Applicant: FEI Company

    Abstract: Methods and systems for quantum computing based sample analysis include computing cross-correlations of two images using a quantum processing system, and computing less noisy image based of two or more images using a quantum processing system. Specifically, the disclosure includes methods and systems for utilizing a quantum computing system to compute and store cross correlation values for two sets of data, which was previously believed to be physically impossible. Additionally, the disclosure also includes methods and systems for utilizing a quantum computing system to generate less noisy data sets using a quantum expectation maximization maximum likelihood (EMML). Specifically, the disclosed systems and methods allow for the generation of less noisy data sets by utilizing the special traits of quantum computers, the systems and methods disclosed herein represent a drastic improvement in efficiency over current systems and methods that rely on traditional computing systems.

    CRITICAL DIMENSION MEASUREMENT IN 3D WITH GEOMETRIC MODELS

    公开(公告)号:US20230245334A1

    公开(公告)日:2023-08-03

    申请号:US17591455

    申请日:2022-02-02

    Applicant: FEI Company

    CPC classification number: G06T7/62 G06F30/20 G06T17/10 G06F2111/10

    Abstract: Methods include acquiring a series of images or spectra of a volume of a model sample, reconstructing a 3D image of the volume of the model sample using the series of images, constructing a 3D model of the volume of the model sample by forming a segmentation of the reconstructed 3D image and fitting one or more primitive geometrical shapes to the segmentation, acquiring test sample images or spectra, and measuring test sample critical dimensions using the constructed 3D model to guide analysis of test spectra or images. Additional methods and related systems are disclosed, optical critical dimension (OCD) methods and systems.

    METHOD AND SYSTEM FOR DETERMINING BEAM POSITION

    公开(公告)号:US20230206489A1

    公开(公告)日:2023-06-29

    申请号:US17561554

    申请日:2021-12-23

    Applicant: FEI Company

    CPC classification number: G06T7/74 G06T7/37 G06T7/337 G06T2207/10061

    Abstract: Methods and systems to determine positions of multiple beamlets includes performing a first scan by scanning the beamlets over a first sample region and acquiring multiple cell images; and performing a second scan by scanning the beamlets over a second sample region and acquiring multiple cell images. Each cell image corresponds to a beamlet, and at least a part of an overlapped region between the first sample region and the second sample region is scanned by multiple beamlets during both the first scan and the second scan. Position of each beamlet may then be determined based on the corresponding cell images acquired during the first scan and the second scan.

    Methods and Systems for Processing of Microscopy Images

    公开(公告)号:US20230179885A1

    公开(公告)日:2023-06-08

    申请号:US17545928

    申请日:2021-12-08

    Applicant: FEI Company

    Abstract: Techniques for acquiring an electron energy loss spectrum in two dimensions are disclosed herein. The technique at least includes exposing an electron sensor to an electron spectrum projected in two dimensions, wherein one of the two dimensions corresponds to a dispersive axis, and the other of the two dimensions corresponds to a non-dispersive axis, receiving an electron sensor readout frame from the electron sensor, where the electron sensor readout frame comprises a plurality of values representative of the electron spectrum in each of the two dimensions, and reducing a resolution of the electron sensor readout frame in at least one of the two dimensions, where reducing the resolution includes reducing the number of values in the at least one of the two dimensions, where the electron sensor readout frame comprises a plurality of values in each of the two dimensions after the reduction in resolution.

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