Laser & Optoelectronics Progress, Volume. 61, Issue 17, 1722004(2024)

Regional Optimal Design of Astigmatism for Progressive Addition Lenses

Yuechen Shen1,2, Yunhai Tang1, Quanying Wu1、*, Xiaoyi Chen2,3, and Haomo Yu2,3
Author Affiliations
  • 1Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application, School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou 215009, Jiangsu, China
  • 2Graduate Practice Station, Suzhou Mason Optical Co., Ltd., Suzhou 215007, Jiangsu, China
  • 3Suzhou Mason Optical Technology Co., Ltd., Suzhou 215007, Jiangsu, China
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    A regional optimization design method is proposed to reduce the astigmatism of progressive addition lenses (PAL). This method is used to optimize the near vision and astigmatic zones of PAL. First, the least squares method is used to find the spherical patch that best fits the superposed region. Subsequently, the progressive surface and spherical patch are combined proportionally to reduce the astigmatism of PAL. Finally, the Zernike polynomial regional fitting method is used to smooth the lens surface at the boundary of the superposed region, thereby reducing unnecessary astigmatism due to surface mutations. The test results of the initial design and optimized lens samples demonstrate that the maximum astigmatism of PAL after optimization decreases by 14.3%, area of maximum astigmatism decreases by 30.5%, and range with astigmatism less than 0.06 D in the near vision area increases by 30.4%. This optimization design method significantly reduces astigmatism while maintaining a relatively unchanged focal power distribution, expanding the effective visual range in near vision areas and improving visual experience for wearers.

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    Yuechen Shen, Yunhai Tang, Quanying Wu, Xiaoyi Chen, Haomo Yu. Regional Optimal Design of Astigmatism for Progressive Addition Lenses[J]. Laser & Optoelectronics Progress, 2024, 61(17): 1722004

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    Paper Information

    Category: Optical Design and Fabrication

    Received: Dec. 19, 2023

    Accepted: Jan. 22, 2024

    Published Online: Sep. 14, 2024

    The Author Email: Quanying Wu (wqycyh@mail.usts.edu.cn)

    DOI:10.3788/LOP232701

    CSTR:32186.14.LOP232701

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