1.Department of Mechanical Engineering, Yonsei University, Seoul 03722, Republic of Korea
2.Small Machines Company, Ltd., Seoul 04808, Republic of Korea
Chulmin Joo (cjoo@yonsei.ac.kr)
纸质出版日期:2023-6-30,
网络出版日期:2023-5-18,
收稿日期:2022-9-5,
修回日期:2023-4-7,
录用日期:2023-4-10
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Polarization-sensitive intensity diffraction tomography[J]. 光:科学与应用, 2023,12(6):1071-1083.
Song, S. et al. Polarization-sensitive intensity diffraction tomography. Light: Science & Applications, 12, 1071-1083 (2023).
Polarization-sensitive intensity diffraction tomography[J]. 光:科学与应用, 2023,12(6):1071-1083. DOI: 10.1038/s41377-023-01151-0.
Song, S. et al. Polarization-sensitive intensity diffraction tomography. Light: Science & Applications, 12, 1071-1083 (2023). DOI: 10.1038/s41377-023-01151-0.
Optical anisotropy
which is an intrinsic property of many materials
originates from the structural arrangement of molecular structures
and to date
various polarization-sensitive imaging (PSI) methods have been developed to investigate the nature of anisotropic materials. In particular
the recently developed tomographic PSI technologies enable the investigation of anisotropic materials through volumetric mappings of the anisotropy distribution of these materials. However
these reported methods mostly operate on a single scattering model
and are thus not suitable for three-dimensional (3D) PSI imaging of multiple scattering samples. Here
we present a novel reference-free 3D polarization-sensitive computational imaging technique—polarization-sensitive intensity diffraction tomography (PS-IDT)—that enables the reconstruction of 3D anisotropy distribution of both weakly and multiple scattering specimens from multiple intensity-only measurements. A 3D anisotropic object is illuminated by circularly polarized plane waves at various illumination angles to encode the isotropic and anisotropic structural information into 2D intensity information. These information are then recorded separately through two orthogonal analyzer states
and a 3D Jones matrix is iteratively reconstructed based on the vectorial multi-slice beam propagation model and gradient descent method. We demonstrate the 3D anisotropy imaging capabilities of PS-IDT by presenting 3D anisotropy maps of various samples
including potato starch granules and tardigrade.
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