邵永红,郑晓敏,汪 磊,等.虚拟结构光照明双光子荧光显微成像[J].深圳大学学报理工版,2021,38(3):221-226.[doi:10.3724/SP.J.1249.2021.03221]
SHAO Yonghong,ZHENG Xiaomin,WANG Lei,et al.Two-photon virtual structured illumination microscopy[J].Journal of Shenzhen University Science and Engineering,2021,38(3):221-226.[doi:10.3724/SP.J.1249.2021.03221]
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虚拟结构光照明双光子荧光显微成像
邵永红,郑晓敏,汪 磊,吴文帅,周 洁,陈嘉杰

深圳大学物理与光电工程学院,光电器件与系统教育部/广东省重点实验室,广东深圳 518060

光学工程; 荧光成像; 超分辨成像; 双光子成像; 结构光照明; 虚拟结构光照明

Two-photon virtual structured illumination microscopy
SHAO Yonghong, ZHENG Xiaomin, WANG Lei, WU Wenshuai, ZHOU Jie, and CHEN Jiajie

College of Physics and Optoelectronic Engineering, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen University, Shenzhen 518060, Guangdong Province, P.R.China

optical engineering; fluorescence imaging; super-resolution microscopy; two-photon imaging; structured illumination; virtual structured illumination

DOI: 10.3724/SP.J.1249.2021.03221

备注

结构光照明单光子荧光超分辨显微成像技术已经成为生命科学研究的重要手段. 为提高荧光显微成像技术的分辨率与成像深度,提出虚拟结构光照明双光子荧光超分辨成像方法,建立虚拟结构光照明双光子荧光超分辨成像理论模型,并分别对Lena图像和100 nm荧光珠进行模拟成像实验.结果表明,系统的空间分辨率提高了1.95倍.这项超分辨成像技术既具有双光子荧光成像的光学切片能力与成像深度大的优点,还具有虚拟结构光照明超分辨成像的能力,对高散射的厚生物样本甚至活细胞动态超分辨成像具有重要的潜在应用价值.
One-photon structured illumination microscopy(SIM)is a powerful tool in the field of life science. To improve the resolution and imaging depth of fluorescence microscopy, we propose a novel super-resolution microscopy called two-photon virtual SIM(2p-vSIM), and establish an imaging theory model for it. To verify the resolving ability of 2p-vSIM, we carry out the simulation experiments on the Lena image and 100 nm fluorescent beads. The results show that the imaging resolution is increased by a factor of 1.95 compared with conventional two-photon imaging technology. Our 2p-vSIM has the advantages of optical sectioning and large imaging depth of two-photon microscopy as well as the super-resolution ability of virtual SIM, and enables super-resolution imaging of thick biological samples with high scattering and even dynamic super-resolution imaging of live cells.
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