Image estimation based on depth-variant imaging model in three-dimensional microscopy

Qingchuan Tao D.V.M.; Xiaohai He; Jia Zhao; Qizhi Teng; Jianguo Chen

doi:10.1117/12.577515

8 February 2005 Image estimation based on depth-variant imaging model in three-dimensional microscopy

Qingchuan Tao D.V.M., Xiaohai He, Jia Zhao, Qizhi Teng, Jianguo Chen

Proceedings Volume 5637, Electronic Imaging and Multimedia Technology IV; (2005) https://doi.org/10.1117/12.577515
Event: Photonics Asia, 2004, Beijing, China

Abstract

An algorithm for maximum-likelihood image restoration based on the expectation maximization (EM) algorithm is proposed in this paper. This estimation is based on a depth-variant imaging model in three-dimensional optical sectioning microscopy. As a result of the refractive index mismatch between the immersion medium and the mounting medium of the specimen, the imaging model in three-dimensional optical-sectioning microscopy incorporates spherical aberration that worsens with increasing depth under the coverslip and changes in the point spread function (PSF). Two-dimension images restoration and three-dimension serial images restoration are to be used to analyze the capability of the EM-ML algorithm, and the performance shows that the EM-ML algorithm can restore the blurred of image by the depth variant image model.

Citation Download Citation

Qingchuan Tao D.V.M., Xiaohai He, Jia Zhao, Qizhi Teng, and Jianguo Chen "Image estimation based on depth-variant imaging model in three-dimensional microscopy", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); https://doi.org/10.1117/12.577515

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