FOCAL POSITION ESTIMATION SYSTEM, FOCAL POSITION ESTIMATION METHOD, FOCAL POSITION ESTIMATION PROGRAM, SEMICONDUCTOR INSPECTION SYSTEM AND BIOLOGICAL OBSERVATION SYSTEM

    公开(公告)号:US20240160089A1

    公开(公告)日:2024-05-16

    申请号:US18570881

    申请日:2022-03-10

    CPC classification number: G03B13/36 G02B7/28

    Abstract: A focal position estimation system is a system for estimating a focal position when in focus corresponding to an estimation target image, and includes: an estimation target image acquisition unit that acquires an estimation target image; and a focal position estimation unit that outputs a feature quantity of the estimation target image from the estimation target image by using a feature quantity output model and estimates a focal position when in focus corresponding to the estimation target image from the output feature quantity, wherein the feature quantity output model is generated by machine learning from a plurality of learning images associated with focal position information related to a focal position at the time of imaging, and feature quantities of two different learning images are compared with each other according to focal position information associated with the two different learning images, and machine learning is performed based on the comparison result.

    AUTOFOCUS ASSISTANCE METHOD, AUTOFOCUS ASSISTANCE DEVICE, AND AUTOFOCUS ASSISTANCE PROGRAM

    公开(公告)号:US20240402092A1

    公开(公告)日:2024-12-05

    申请号:US18698876

    申请日:2022-06-22

    Abstract: An autofocus support method according to an embodiment supports autofocus for a semiconductor device having a substrate and a device pattern formed on one main surface side of the substrate. The method includes: a step of acquiring a first image focused on the substrate; a step of acquiring a spatial frequency image from the first image by Fourier transform and generating mask data for masking linear patterns in the same direction on the substrate based on the spatial frequency image; a step of performing filtering on a plurality of second images, which are captured by using an imaging device while changing the focal position of the imaging device on the other main surface side of the substrate, by using the mask data; and a step of focusing the imaging device on the device pattern based on the second image after filtering.

    METHOD FOR INSPECTING SEMICONDUCTOR AND SEMICONDUCTOR INSPECTING DEVICE

    公开(公告)号:US20220301135A1

    公开(公告)日:2022-09-22

    申请号:US17608857

    申请日:2020-04-16

    Abstract: A semiconductor inspection method by an observation system includes a step of acquiring a first pattern image showing a pattern of a semiconductor device, a step of acquiring a second pattern image showing a pattern of the semiconductor device and having a different resolution from a resolution of the first pattern image, a step of learning a reconstruction process of the second pattern image using the first pattern image as training data by machine learning, and reconstructing the second pattern image into a reconstructed image having a different resolution from a resolution of the second pattern image by the reconstruction process based on a result of the learning, and a step of performing alignment based on a region calculated to have a high degree of certainty by the reconstruction process in the reconstructed image and the first pattern image.

    IMAGE PROCESSING DEVICE, IMAGING DEVICE, MICROSCOPE DEVICE, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM
    5.
    发明申请
    IMAGE PROCESSING DEVICE, IMAGING DEVICE, MICROSCOPE DEVICE, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM 审中-公开
    图像处理装置,成像装置,显微镜装置,图像处理方法和图像处理程序

    公开(公告)号:US20130169787A1

    公开(公告)日:2013-07-04

    申请号:US13726916

    申请日:2012-12-26

    CPC classification number: G06K9/00147

    Abstract: The image processing device 10 includes a template preparation unit 15 for preparing, from a template included in pixels of M rows and M columns (M is an integer not less than 3) corresponding to a molecular model, a partial template corresponding to a shape for which a shape of the molecular model is divided, an evaluation value calculation unit 17 for evaluating, in the optical image, by use of the partial template, matching between the optical image and the partial template to calculate an evaluation value for every plurality of the attention pixels, and a molecular location identification unit 18 for identifying the molecular location in the optical image based on the evaluation value.

    Abstract translation: 图像处理装置10包括:模板准备单元15,用于从对应于分子模型的M行M列(M为不小于3的整数)的像素中包含的模板中准备对应于形状的部分模板 划分分子模型的形状的评估值计算单元17,用于通过使用部分模板在光学图像中评估光学图像和部分模板之间的匹配来计算每个多个 注意像素和用于基于评估值来识别光学图像中的分子位置的分子位置识别单元18。

    FEATURE OUTPUT MODEL GENERATION SYSTEM, FEATURE OUTPUT MODEL GENERATION METHOD, FEATURE OUTPUT MODEL GENERATION PROGRAM, AND FEATURE OUTPUT MODEL

    公开(公告)号:US20240290080A1

    公开(公告)日:2024-08-29

    申请号:US18570937

    申请日:2022-03-10

    CPC classification number: G06V10/778 G06V10/751

    Abstract: A feature quantity output model generation system is a system for generating a feature quantity output model to which information based on an image is input and which outputs a feature quantity of the image, and includes: a learning image acquisition unit that acquires a plurality of learning images associated with focal position information related to a focal position at the time of imaging; and a feature quantity output model generation unit that generates a feature quantity output model by machine learning from the acquired learning images, wherein the feature quantity output model generation unit compares the feature quantities of two different learning images according to focal position information associated with the two different learning images and performs machine learning based on the comparison result.

    SEMICONDUCTOR INSPECTION DEVICE AND SEMICONDUCTOR INSPECTION METHOD

    公开(公告)号:US20220301197A1

    公开(公告)日:2022-09-22

    申请号:US17608833

    申请日:2020-04-16

    Abstract: An observation system includes a detector that detects light from a semiconductor device and outputs a detection signal, a 2D camera, an optical device that guides light to the detector and the 2D camera, an image processing unit that generates a first optical image of the semiconductor device based on the detection signal and receives an input of a first CAD image, an image analysis unit that learns a conversion process of the first CAD image by machine learning using the first optical image as training data, and converts the first CAD image into a second CAD image resembling the first optical image by the conversion process based on a result of the learning, and an alignment unit that performs alignment based on a second optical image and the second CAD image.

    SEMICONDUCTOR APPARATUS EXAMINATION METHOD AND SEMICONDUCTOR APPARATUS EXAMINATION APPARATUS

    公开(公告)号:US20220221411A1

    公开(公告)日:2022-07-14

    申请号:US17604000

    申请日:2020-04-09

    Abstract: A semiconductor apparatus examination method includes a step of acquiring a first interference waveform based on signals from a plurality of drive elements according to light from a first light beam spot including the plurality of drive elements in a semiconductor apparatus, a step of acquiring a second interference waveform based on signals from the plurality of drive elements according to light from a second light beam spot having a region configured to partially overlap the first spot and including the plurality of drive elements, and a step of separating a waveform signal for each of the drive elements in the first and second spots based on the first and second interference waveforms.

    SEMICONDUCTOR DEVICE EXAMINATION METHOD AND SEMICONDUCTOR DEVICE EXAMINATION DEVICE

    公开(公告)号:US20220206063A1

    公开(公告)日:2022-06-30

    申请号:US17606829

    申请日:2020-04-09

    Abstract: A semiconductor device examination method includes a step of acquiring a first interference waveform based on signals from a plurality of drive elements according to light from a first light beam spot including the plurality of drive elements in a semiconductor device, a step of acquiring a second interference waveform based on signals from the plurality of drive elements according to light from a second light beam spot having a region configured to partially overlap the first spot and including the plurality of drive elements, and a step of separating a waveform signal for each of the drive elements in the first and second spots based on the first and second interference waveforms.

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