Methods for measuring a thickness of an object
    2.
    发明授权
    Methods for measuring a thickness of an object 有权
    测量物体厚度的方法

    公开(公告)号:US09360308B2

    公开(公告)日:2016-06-07

    申请号:US14248673

    申请日:2014-04-09

    IPC分类号: G01N23/20 G01B15/02

    CPC分类号: G01B15/02 G01N23/20

    摘要: A method for analyzing an object includes measuring a first reflectivity of light from a surface and measuring a second reflectivity of light from the object, after the object is formed on the surface. A variation between the first and second reflectivities is calculated, and the variation is transformed by a predetermined transform. A thickness of the object is determined based on the transformed variation.

    摘要翻译: 用于分析物体的方法包括在物体形成在表面上之后测量来自表面的光的第一反射率和测量来自物体的光的第二反射率。 计算第一和第二反射率之间的变化,并且通过预定变换来变换变化。 基于变换的变化确定对象的厚度。

    Non-transitory computer-readable medium and method for monitoring a semiconductor fabrication process

    公开(公告)号:US10949949B2

    公开(公告)日:2021-03-16

    申请号:US16402375

    申请日:2019-05-03

    IPC分类号: G06T3/40 G06T7/00

    摘要: A non-transitory computer-readable medium for monitoring a semiconductor fabrication process includes an image conversion model having an artificial neural network. The image conversion model, when executed, causes the processor to receive a first image and a second image of a semiconductor wafer. The artificial neural network is trained by inputting a dataset representing the first image and the second image, generating a conversion image of the semiconductor wafer and calibrating weights and biases of the artificial neural network to match the conversion image to the second image. A third image of the semiconductor wafer is generated based on the calibrated weights and biases of the artificial neural network. The image conversion model with the trained artificial neural network may be transmitted to another device for image conversion of low resolution images.