Wavefront sensorless aberration correction utilizing SPGD algorithm with adaptive coefficient for laser scanning confocal microscopy

Tianyu Zhang, Zhizheng Wu, Xiang Wei, Feng Li, Jialiang Wu, Kongbin Zhu
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Abstract

Laser scanning confocal microscopy (LSCM) has become a common method for biological observation and medical science. Compared with traditional optical microscope, LSCM has the advantages of high contrast and three-dimensional (3D) imaging. However, with the increase of image depth, the resolution and contrast will be reduced due to the complexity of biological tissue aberrations. Adaptive optics system is an effective method to eliminate aberration. In this paper, a wavefront sensorless adaptive optics system is used to correct aberrations generated by complex refractive index of biological tissue. In order to increase the convergence speed and reduce the influence of photobleaching, an improved stochastic parallel gradient descent algorithm with adaptive coefficient is used to control the AO system. The optical path is simulated in ZEMAX and the feasibility of the proposed algorithm is verified in MATLAB. All simulation results demonstrate that the optimal algorithm can correct the aberration effectively with the designed optical system.
基于自适应系数SPGD算法的激光扫描共聚焦显微镜无波前像差校正
激光扫描共聚焦显微镜(LSCM)已成为生物观察和医学研究的常用方法。与传统光学显微镜相比,LSCM具有高对比度和三维成像的优点。然而,随着图像深度的增加,由于生物组织像差的复杂性,分辨率和对比度会降低。自适应光学系统是消除像差的有效方法。本文采用无波前传感器自适应光学系统对生物组织的复折射率产生的像差进行校正。为了提高收敛速度,减小光漂白的影响,采用一种改进的带自适应系数的随机并行梯度下降算法对AO系统进行控制。在ZEMAX中对光路进行了仿真,并在MATLAB中验证了该算法的可行性。仿真结果表明,优化算法能在设计的光学系统下有效地校正像差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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