IMAGE ALIGNMENT SETUP FOR SPECIMENS WITH INTRA- AND INTER-SPECIMEN VARIATIONS USING UNSUPERVISED LEARNING AND ADAPTIVE DATABASE GENERATION METHODS

    公开(公告)号:US20210383557A1

    公开(公告)日:2021-12-09

    申请号:US17334179

    申请日:2021-05-28

    Abstract: Methods and systems for determining one or more alignment parameters for use in a process performed on a specimen are provided. One method includes determining measures of similarity between images generated by an imaging system for corresponding locations in each of two or more pairs of dies on a specimen and performing cluster analysis based on the determined measures of similarity to identify the images that are most similar to each other and to assign different subsets of the images that are most similar to each other to different die clusters, respectively. The method also includes separately determining one or more alignment parameters for two or more of the different die clusters. The one or more alignment parameters are used for aligning images generated by the imaging system for the specimen or another specimen to a common reference.

    PRINT CHECK REPEATER DEFECT DETECTION

    公开(公告)号:US20210342992A1

    公开(公告)日:2021-11-04

    申请号:US17246034

    申请日:2021-04-30

    Abstract: Systems and methods for detecting defects on a reticle are provided. One system includes computer subsystem(s) configured for performing at least one repeater defect detection step in front-end processing during an inspection process performed on a wafer having features printed in a lithography process using a reticle. The at least one repeater defect detection step performed in the front-end processing includes identifying any defects detected at corresponding locations in two or more test images by double detection and any defects detected by stacked defect detection as first repeater defect candidates. One or more additional repeater defect detections may be performed on the first repeater defect candidates to generate final repeater defect candidates and identify defects on the reticle from the final repeater defect candidates.

    Unsupervised learning-based reference selection for enhanced defect inspection sensitivity

    公开(公告)号:US11120546B2

    公开(公告)日:2021-09-14

    申请号:US17013264

    申请日:2020-09-04

    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.

    System and Method for Inspection Using Tensor Decomposition and Singular Value Decomposition

    公开(公告)号:US20200244963A1

    公开(公告)日:2020-07-30

    申请号:US16744301

    申请日:2020-01-16

    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.

Patent Agency Ranking