Paper
18 November 2019 A novel phase retrieval and reconstruction method in optical diffraction tomography
Shuo Cao, Xing Lv, Qiang Chen, Guanghui Wang, Jiabi Chen
Author Affiliations +
Abstract
Optical diffraction tomography is an important method to obtain the microstructure of biological samples. We present a reconstruction process for the 3D refractive index distribution of samples in optical diffraction tomography. First, obtaining an accurate phase image by preprocessing the interference image is especially important for the reconstruction. The quality oriented method is used to perform phase unwrapping to avoid the influence of residual error. Then, the background phase is eliminated by curve fitting method, which reduces the experimental complexity and requirements. The positional deviation caused by the rotation of the sample is solved by autocorrelation algorithm. We apply a filtered back propagation algorithm based on Fourier diffraction theory to improve the accuracy of reconstruction. Finally, we have carried out experiments on samples such as photonic crystal fiber and pollen, and obtained the detailed internal structure of the samples with satisfactory results.
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Shuo Cao, Xing Lv, Qiang Chen, Guanghui Wang, and Jiabi Chen "A novel phase retrieval and reconstruction method in optical diffraction tomography", Proc. SPIE 11188, Holography, Diffractive Optics, and Applications IX, 111880K (18 November 2019); https://doi.org/10.1117/12.2537659
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KEYWORDS
Reconstruction algorithms

Diffraction

Refractive index

Tomography

Optical tomography

Algorithms

Photonic crystal fibers

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