Thickness measurement of substrate using color metrology

    公开(公告)号:US12148148B2

    公开(公告)日:2024-11-19

    申请号:US18198053

    申请日:2023-05-16

    Abstract: A metrology system for obtaining a measurement representative of a thickness of a layer on a substrate includes a camera positioned to capture a color image of at least a portion of the substrate. A controller is configured to receive the color image from the camera, store a predetermined path in a coordinate space of at least two dimension including a first color channel and a second color channel, store a function that provides a value representative of a thickness as a function of a position on the predetermined path, determine a coordinate of a pixel in the coordinate space from color data in the color image for the pixel, determine a position of a point on the predetermined path that is closest to the coordinate of the pixel, and calculate a value representative of a thickness from the function and the position of the point on the predetermined path.

    ACTIVE ACOUSTIC MONITORING FOR CHEMICAL MECHANICAL POLISHING

    公开(公告)号:US20220281058A1

    公开(公告)日:2022-09-08

    申请号:US17674772

    申请日:2022-02-17

    Abstract: A chemical mechanical polishing apparatus includes a platen to support a polishing pad, a carrier head to a surface of a substrate against the polishing pad, a motor to generate relative motion between the platen and the carrier head so as to polish an overlying layer on the substrate, an in-situ acoustic monitoring system, and a controller. The in-situ acoustic monitoring system includes an acoustic signal generator to emit acoustic signals and an acoustic signal sensor that receives acoustic signals reflected from the surface of the substrate. The controller is configured to detect exposure of an underlying layer due to the polishing of the substrate based on measurements from the in-situ acoustic monitoring system.

    FILM THICKNESS ESTIMATION FROM MACHINE LEARNING BASED PROCESSING OF SUBSTRATE IMAGES

    公开(公告)号:US20210407065A1

    公开(公告)日:2021-12-30

    申请号:US17359307

    申请日:2021-06-25

    Abstract: A neural network is trained for use in a substrate thickness measurement system by obtaining ground truth thickness measurements of a top layer of a calibration substrate at a plurality of locations, each location at a defined position for a die being fabricated on the substrate. A plurality of color images of the calibration substrate are obtained, each color image corresponding to a region for a die being fabricated on the substrate. A neural network is trained to convert color images of die regions from an in-line substrate imager to thickness measurements for the top layer in the die region. The training is performed using training data that includes the plurality of color images and ground truth thickness measurements with each respective color image paired with a ground truth thickness measurement for the die region associated with the respective color image.

    Thickness Measurement of Substrate Using Color Metrology

    公开(公告)号:US20210358113A1

    公开(公告)日:2021-11-18

    申请号:US17388961

    申请日:2021-07-29

    Abstract: A layer thickness measurement system includes a support to hold a substrate, an optical sensor to capture a color image of at least a portion of the substrate, and a controller. The controller is configured to receive the color image from the optical sensor, perform a color correction on the color image to generate an adjusted color image having increased color contrast, determine a coordinate of the pixel in a coordinate space of at least two dimensions including a first color channel and a second color channel from color data in the adjusted color image for each of the adjusted color image, and calculate a value representative of a thickness based on the coordinate of the pixel of the adjusted color image in the coordinate space.

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