大视场双通道Micro-LED晶圆缺陷光学检测系统设计
Design of a Dual-Channel Optical Inspection System with Large Field of View for Micro-LED Wafer Defects
投稿时间:2024-12-23  修订日期:2025-02-02
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中文摘要:
      面向Micro-LED芯片制造过程中多种晶圆缺陷的高精度自动检测需求,设计了一种大视场偏振双通道的晶圆缺陷自动光学检测系统。光学设计结果表明,系统放大倍率为20倍,照明均匀性可达91.6%,最大像方视场为33mm,MTF曲线在奈奎斯特频率31lp/mm处接近衍射极限,系统可以满足0.8μm的物方分辨率。相较于传统的单通道缺陷检测方法,该系统利用大面阵主检相机和复检偏振相机实时捕获不同类型缺陷的特征信息,具有视场大、检测效率高、漏检率低等优势。计算得到偏振度图像的信息熵、边缘强度、标准差和平均梯度相对于传统灰度图像的平均提升率分别为25.6%、24.9%、33%、173.3%,能够满足晶圆缺陷检测的实际要求。
英文摘要:
In response to the necessity for a high-precision automatic detection of multiple wafer defects in the manufacturing process of Micro-LED chips, a large-field-of-view polarized dual-channel automatic optical inspection system for wafer defects has been designed. The optical design of the system has been meticulously crafted to ensure optimal performance. It boasts a 20-fold magnification, a uniform illumination level of 91.6%, and an impressive maximum image-square field of view of 33 mm. The system""s MTF curve exhibits a close proximity to the diffraction limit at the Nyquist frequency of 31lp/mm, and its system resolution of 0.8 μm is in alignment with the object-square resolution specifications. A comparison with the conventional single-channel defect detection method reveals that the system captures the feature information of various defect types in real time. This is accomplished by employing a large-faceted array main inspection camera and a double-inspection polarimetric camera. The former possesses the advantages of a large field of view, high detection efficiency, and low leakage rate. The mean enhancement rates of information entropy, edge strength, standard deviation, and average gradient of the polarimetric image relative to the traditional gray-scale image are calculated to be 25.6%, 24.9%, 33%, and 173.3%, respectively. These enhancement rates meet the practical requirements of wafer defect detection.
作者单位邮编
张义博 长春理工大学 130022
中文关键词:  Micro-LED  缺陷检测  光学设计  偏振
英文关键词:Micro-LED  wafer defect  optical design  polarization
基金项目:吉林省自然科学基金
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