SYSTEM AND METHOD FOR INSPECTION USING TENSOR DECOMPOSITION AND SINGULAR VALUE DECOMPOSITION

    公开(公告)号:WO2020159805A1

    公开(公告)日:2020-08-06

    申请号:PCT/US2020/014868

    申请日:2020-01-24

    Abstract: A sample characterization system is disclosed. In embodiments, the sample characterization system includes a controller communicatively coupled to an inspection sub-system, the controller including one or more processors configured to execute a set of program instructions stored in memory, the set of program instructions configured to cause the one or more processors to: acquire one or more target image frames of a sample; generate a target tensor with the one or more acquired target image frames; perform a first set of one or more decomposition processes on the target tensor to form generate one or more reference tensors including one or more reference image frames; identify one or more differences between the one or more target image frames and the one or more reference image frames; and determine one or more characteristics of the sample based on the one or more identified differences.

    UNSUPERVISED LEARNING-BASED REFERENCE SELECTION FOR ENHANCED DEFECT INSPECTION SENSITIVITY

    公开(公告)号:WO2021061499A1

    公开(公告)日:2021-04-01

    申请号:PCT/US2020/051343

    申请日:2020-09-18

    Abstract: An optical characterization system and a method of using the same are disclosed. The system comprises a controller configured to be communicatively coupled with one or more detectors configured to receive illumination from a sample and generate image data. One or more processors may be configured to receive images of dies on the sample, calculate dissimilarity values for all combinations of the images, perform a cluster analysis to partition the combinations of the images into two or more clusters, generate a reference image for a cluster of the two or more clusters using two or more of the combinations of the images in the cluster; and detect one or more defects on the sample by comparing a test image in the cluster to the reference image for the cluster.

    DEFECT-LOCATION DETERMINATION USING CORRECTION LOOP FOR PIXEL ALIGNMENT

    公开(公告)号:WO2020081476A1

    公开(公告)日:2020-04-23

    申请号:PCT/US2019/056168

    申请日:2019-10-15

    Abstract: A method of semiconductor-wafer image alignment is performed at a semiconductor-wafer defect-inspection system. In the method, a semiconductor wafer is loaded into the semiconductor-wafer defect-inspection system. Pre-inspection alignment is performed for the semiconductor wafer. After performing the pre-inspection alignment, a first swath is executed to generate a first image of a first region on the semiconductor wafer. An offset of a target structure in the first image with respect to a known point is determined. Defect identification is performed for the first image, using the offset. After executing the first swath and determining the offset, a second swath is executed to generate a second image of a second region on the semiconductor wafer. While executing the second swath, run-time alignment of the semiconductor wafer is performed using the offset.

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