江苏海洋大学 电子工程学院,江苏 连云港 222005
黄则陆(2000— ),男,硕士研究生,从事自适应光学方面研究。 huangzelu@jou.edu.cn
zhangzhiguang10@mails.ucas.ac.cn
收稿:2025-04-07,
修回:2025-08-09,
纸质出版:2025-11-20
移动端阅览
黄则陆,李欣,苏德磊等.基于有限内存拟牛顿法的荧光显微成像相位差异自适应光学技术研究[J].光学技术,2025,51(06):649-655.
HUANG Zelu,LI Xin,SU Delei,et al.Research on phase diversity method based on L-BFGS for fluorescence microscopy in adaptive optics[J].OPTICAL TECHNIQUE,2025,51(06):649-655.
荧光显微镜因其对样品损伤小、可进行特异性标记等特点,被广泛应用于细胞结构及动态过程的研究。然而当光的波前由于系统自身缺陷或样品的折射效应而发生畸变时,这些光学像差的产生会大大降低成像的对比度和分辨率。自适应光学(AO)是一种校正波前畸变的技术,将自适应光学技术与荧光显微镜相结合,可以有效提高成像的质量。文章提出了一种基于有限内存拟牛顿法(L-BFGS)的荧光显微成像相位差异(PD)自适应光学技术,相位差异自适应光学技术最初用于天文观测领域,在生物样本显微成像方面的应用尚未得到充分探索。仿真与实测结果表明,相比基于高斯牛顿法(Gauss-Newton)的荧光显微相位差异自适应光学技术,方法在计算速度、波前重建能力方面都有着较大的优势。研究结果可为恢复生物细胞的衍射极限成像提供重要的理论基础。
Fluorescence microscopy is widely used in the study of cell structures and dynamic processes due to its minimal sample damage and ability to perform specific labeling. However
when the light wavefront is distorted due to system defects or refractive effects of the sample
these optical aberrations can significantly reduce imaging contrast and resolution. Adaptive optics (AO) is a technology used to correct wavefront distortions. By combining adaptive optics with fluorescence microscopy
imaging quality can be effectively improved. The fluorescence microscopy phase diversity (PD) adaptive optics technique based on the limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method is proposed. Phase diversity adaptive optics was initially used in astronomical observations
and its application in biological sample microscopy has not been fully explored. Simulation and experimental results show that
compared to the fluorescence microscopy phase diversity adaptive optics technique based on the Gauss-Newton method
the proposed method offers significant advantages in computational speed and wavefront reconstruction capabilities. The research results provide an important theoretical foundation for restoring diffraction-limited imaging of biological cells.
刘立新 , 张美玲 , 吴兆青 , 等 . 自适应光学在荧光显微镜中的应用 [J ] . 激光与光电子学进展 , 2020 , 57 ( 12 ): 9 — 22 .
Liu Lixin , Zhang Meiling , Wu Zhaoqing , et al . Application of adaptive optics in fluorescence microscopy [J ] . Laser & Optoelectronics Progress , 2020 , 57 ( 12 ): 9 — 22 .
Babcock H W . The possibility of compensating astronomical seeing [J ] . Publications of the Astronomical Society of the Pacific , 1953 , 65 ( 386 ): 229 — 236 .
Albert O , Sherman L , Mourou G , et al . Smart microscope: an adaptive optics learning system for aberration correction in multiphoton confocal microscopy [J ] . Optics letters , 2000 , 25 ( 1 ): 52 — 54 .
Zhao L , Bai J , Hao Y , et al . Modal-based nonlinear optimization algorithm for wavefront measurement with under-sampled data [J ] . Optics Letters , 2020 , 45 ( 19 ): 5456 — 5459 .
Zhao L , Yan H , Bai J , et al . Simultaneous reconstruction of phase and amplitude for wavefront measurements based on nonlinear optimization algorithms [J ] . Optics Express , 2020 , 28 ( 13 ): 19726 — 19739 .
van Kooten M A M , Ragland S , Jensen-Clem R , et al . On-sky reconstruction of Keck primary mirror piston offsets using a Zernike wavefront sensor [J ] . The Astrophysical Journal , 2022 , 932 ( 2 ): 109 .
Gonsalves R A . Phase retrieval and diversity in adaptive optics [J ] . Optical Engineering , 1982 , 21 ( 5 ): 829 — 832 .
Kner P . Phase diversity for three-dimensional imaging [J ] . Journal of the Optical Society of America A , 2013 , 30 ( 10 ): 1980 — 1987 .
Krishnan A P , Belthangady C , Nyby C , et al . Optical aberration correction via phase diversity and deep learning [J ] . BioRxiv , 2020 , 04 : 026567 .
Hu Q , Hailstone M , Wang J , et al . Universal adaptive optics for microscopy through embedded neural network control [J ] . Light: Science & Applications , 2023 , 12 ( 1 ): 270 .
王韵澎 , 燕静 , 郝翔 . 自适应光学在超分辨显微成像技术中的应用(内封面文章·特邀) [J ] . 红外与激光工程 , 2024 , 53 ( 05 ): 19 — 33 .
Wang Yunpeng , Yan Jing , Hao Xiang . Application of adaptive optics in super-resolution microscopy (Inside cover article·Invited) [J ] . Infrared and Laser Engineering , 2024 , 53 ( 05 ): 19 — 33 .
Liu D C , Nocedal J . On the limited memory BFGS method for large scale optimization [J ] . Mathematical Programming , 1989 , 45 ( 1 ): 503 — 528 .
Johnson C , Guo M , Schneider M C , et al . Phase-diversity-based wavefront sensing for fluorescence microscopy [J ] . Optica , 2024 , 11 ( 6 ): 806 — 820 .
Vogel C R . A limited memory BFGS method for an inverse problem in atmospheric imaging [C ] // Methods and Applications of Inversion . Berlin,Heidelbery : Springer , 2005 : 292 — 304 .
Li F , Rao C . Algorithms for phase diversity wavefront sensing [C ] // Advanced Sensor Systems and Applications IV . SPIE , 2010 , 7853 : 478 — 486 .
0
浏览量
5
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621