UTILIZE PATTERN RECOGNITION TO IMPROVE SEM CONTOUR MEASUREMENT ACCURACY AND STABILITY AUTOMATICALLY

    公开(公告)号:WO2020011513A1

    公开(公告)日:2020-01-16

    申请号:PCT/EP2019/066520

    申请日:2019-06-21

    Abstract: A method for improving a process model by measuring a feature on a printed design that was constructed based in part on a target design is disclosed. The method includes obtaining a) an image of the printed design from an image capture device and b) contours based on shapes in the image. The method also includes identifying, by a pattern recognition program, patterns on the target design that include the feature and determining coordinates, on the contours, that correspond to the feature. The method further includes improving the process model by at least a) providing a measurement of the feature based on the coordinates and b) calibrating the process model based on a comparison of the measurement with a corresponding feature in the target design.

    UTILIZE MACHINE LEARNING IN SELECTING HIGH QUALITY AVERAGED SEM IMAGES FROM RAW IMAGES AUTOMATICALLY

    公开(公告)号:WO2020035285A1

    公开(公告)日:2020-02-20

    申请号:PCT/EP2019/070142

    申请日:2019-07-26

    Abstract: A method for evaluating images of a printed pattern is implemented by at least one programmable processor. The method includes obtaining (2310,2320) a first averaged image of the printed pattern, where the first averaged image is generated by averaging raw images of the printed pattern. The method also includes identifying (2330) one or more features of the first averaged image. The method further includes evaluating (2340) the first averaged image, by the programmable processor executing an image quality classification model and based at least on the one or more features. The evaluating includes determining (2350), by the image quality classification model, whether the first averaged image satisfies a metric.

    PRE-SCAN FEATURE DETERMINATION METHODS AND SYSTEMS

    公开(公告)号:WO2019145278A1

    公开(公告)日:2019-08-01

    申请号:PCT/EP2019/051461

    申请日:2019-01-22

    Abstract: Systems, methods, and programming are described herein for pre-scan feature determination. In one embodiment, image data representing a plurality of scanning electron microscope ("SEM") images may be obtained, each including a representation of a feature and each being associated with a respective scan of the feature by an SEM. For each image, a parameter associated with each of a plurality of gauge positions may be determined. A change in the parameter from each SEM image to a subsequent SEM image may be determined. For each gauge position, a rate of change for the parameter may be determined based on a difference in a location of the parameter between at least two of the plurality of SEM images. Feature data representing a reconstruction of the feature prior to the SEM being applied may be generated by extrapolating an original location of the parameter based on the parameter's rate of change.

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