Phase Retrieval Based on Registration Progressive Compensation Algorithm

Hong, 程鸿 Cheng; Bang-ling, 熊帮玲 Xiong; Jincheng, 王金成 Wang; Huimin, 马慧敏 Ma; Sui, 韦穗 Wei

doi:10.3788/gzxb20194804.0410002

光子学报

2019

DOI: 10.3788/gzxb20194804.0410002

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Phase Retrieval Based on Registration Progressive Compensation Algorithm

程鸿 Cheng Hong¹,

熊帮玲 Xiong Bang-ling²,

王金成 Wang Jincheng³

et al.

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Transport of intensity equation method based on edge detection and duty ratio fusion

Cheng¹,

Wang²,

Ye³

et al. 2020

J. Opt.

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The non-interferometric phase recovery method which is based on the transport of intensity equation is an important phase acquisition technique in microscopy imaging. In the actual operational process of this technology, at least three intensity images are needed to solve the equation. In the image acquisition process, the selection of the focused image is very important, but it is usually determined by subjective methods, thus causing inaccurate positioning of the infocus, which further affects the precision of phase recovery result. A phase recovery algorithm based on edge detection and duty ratio is proposed. Firstly, a series of 'subjectively determined focused images' collected by the microscope are edge-extracted to obtain corresponding edge information points. Then the real in-focus position is found by calculating the duty ratio, and the corresponding defocused images are selected according to the position of the focused image. Finally, the high-precision phase recovery result is obtained by using these images of the accurate position to solve the equation. The algorithm does not require complex operations such as hardware modifications and can be applied to both discrete and continuous sample distributions. The experimental results effectively prove that the algorithm can accurately find the in-focus position, which improves the accuracy of phase recovery compared with the traditional method that is subjectively determined in-focus image position.

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Transport of intensity equation method based on edge detection and duty ratio fusion

Cheng¹,

Wang²,

Ye³

et al. 2020

J. Opt.

View full text Add to dashboard Cite

show abstract

Phase retrieval method based on the transport of intensity equation and the threshold duty ratio

Cheng

Wang

et al. 2022

Opt. Eng.

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Phase Retrieval Based on Registration Progressive Compensation Algorithm

Cited by 2 publications

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Transport of intensity equation method based on edge detection and duty ratio fusion

Transport of intensity equation method based on edge detection and duty ratio fusion

Phase retrieval method based on the transport of intensity equation and the threshold duty ratio

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