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Proceedings Paper

Optimum defocus planes selection method for transport of intensity phase imaging based on phase transfer function
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Paper Abstract

In recent years, medical, biological and scientific fields have been benefited from phase information, which can reveal the hidden features of various objects. By solving the transport of intensity equation (TIE), the phase distribution of an object can be obtained from a series of intensity measurements. Assuming the solving process is correct, the reconstruction accuracy is depending on the distances between planes, the number of planes, and the level of noise. Increasing the number of planes or utilizing multi-frame de-noise algorithm could improve the reconstruction accuracy certainly, but neither of them is a time-efficient strategy. In this work, an optimum defocus planes selection (OPS) method is proposed for reconstructing high quality phase information by solving the transport of intensity equation. It is shown that the difference image between two symmetrical separated, lager defocused planes contains a lot of lower frequency components of the phase distribution and the higher frequency components can be easily observed in the difference image between two nearly focused planes. Based on the phase transfer function (PTF), our method estimate a more accurate frequency spectrum of the object phase distribution, which is combined with different frequency components from the stack of through–focus intensity images. Both the simulation and experimental results demonstrate that this optimum defocus planes selection method can give a computationally efficient and noise-robust phase reconstruction with higher accuracy and fewer defocus planes.

Paper Details

Date Published: 17 July 2015
PDF: 5 pages
Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 952413 (17 July 2015); doi: 10.1117/12.2189189
Show Author Affiliations
Jiasong Sun, Nanjing Univ. of Science and Technology (China)
Yuzhen Zhang, Nanjing Univ. of Science and Technology (China)
Chao Zuo, Nanjing Univ. of Science and Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9524:
International Conference on Optical and Photonic Engineering (icOPEN 2015)
Anand K. Asundi; Yu Fu, Editor(s)

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