Measurement of 3D refractive index distribution by optical diffraction tomography

Weining Chi; Dayong Wang; Yunxin Wang; Jie Zhao; Lu Rong; Yuanyuan Yuan

doi:10.1117/12.2296310

12 January 2018 Measurement of 3D refractive index distribution by optical diffraction tomography

Weining Chi, Dayong Wang, Yunxin Wang, Jie Zhao, Lu Rong, Yuanyuan Yuan

Proceedings Volume 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 106201S (2018) https://doi.org/10.1117/12.2296310
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China

Abstract

Optical Diffraction Tomography (ODT), as a novel 3D imaging technique, can obtain a 3D refractive index (RI) distribution to reveal the important optical properties of transparent samples. According to the theory of ODT, an optical diffraction tomography setup is built based on the Mach-Zehnder interferometer. The propagation direction of object beam is controlled by a 2D translation stage, and 121 holograms based on different illumination angles are recorded by a Charge-coupled Device (CCD). In order to prove the validity and accuracy of the ODT, the 3D RI profile of microsphere with a known RI is firstly measured. An iterative constraint algorithm is employed to improve the imaging accuracy effectively. The 3D morphology and average RI of the microsphere are consistent with that of the actual situation, and the RI error is less than 0.0033. Then, an optical element fabricated by laser with a non-uniform RI is taken as the sample. Its 3D RI profile is obtained by the optical diffraction tomography system.

Citation Download Citation

Weining Chi, Dayong Wang, Yunxin Wang, Jie Zhao, Lu Rong, and Yuanyuan Yuan "Measurement of 3D refractive index distribution by optical diffraction tomography", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106201S (12 January 2018); https://doi.org/10.1117/12.2296310

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