OBSERVATION SYSTEM, OBSERVATION METHOD, AND PROGRAM

    公开(公告)号:US20230238210A1

    公开(公告)日:2023-07-27

    申请号:US18151530

    申请日:2023-01-09

    Abstract: The invention provides an observation system capable of observing a formation position of a target shape that cannot be directly irradiated with an electron beam. The observation system includes an electron microscope and a computer. The electron microscope is configured to irradiate, with an electron beam, a first surface position on a specimen, which is different from a formation position of a target shape on the specimen, detect predetermined electrons that are scattered in the specimen from the first surface position and that escape from the formation position of the target shape to an outside of the specimen, and output the predetermined electrons as a detection signal. The computer is configured to output one or more values related to the target shape based on the detection signal.

    PROCESSOR SYSTEM, SEMICONDUCTOR INSPECTION SYSTEM, AND PROGRAM

    公开(公告)号:US20230230886A1

    公开(公告)日:2023-07-20

    申请号:US18065698

    申请日:2022-12-14

    CPC classification number: H01L22/12 G06T7/50 G06T1/0007 G06T2207/30148

    Abstract: To provide a technique capable of quantitatively grasping a change in three-dimensional shape including a cross-sectional shape of a pattern within a surface of a wafer or between wafers in a non-destructive manner before cross-sectional observation. A processor system of a semiconductor inspection system acquires images captured by an electron microscope (SEM) for a sample (S102), calculates, for a reference region defined on a surface of the sample, first feature data corresponding to each of a plurality of locations in the reference region from the captured image (S103A), calculates a first statistical value based on the first feature data at the plurality of locations (S103B), calculates, for each of a plurality of evaluation regions defined as points or regions on the surface of the sample in correspondence with the reference region, second feature data corresponding to each of one or more locations in the evaluation region from the captured image, as feature data of the same type as the first feature data (S104A), and converts the second feature data using the first statistical value to obtain second feature data after conversion (S105).

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