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Polarization-sensitive intensity diffraction tomography

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 recen...

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Autores principales: Song, Seungri, Kim, Jeongsoo, Moon, Taegyun, Seong, Baekcheon, Kim, Woovin, Yoo, Chang-Hyuk, Choi, Jun-Kyu, Joo, Chulmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195819/
https://www.ncbi.nlm.nih.gov/pubmed/37202421
http://dx.doi.org/10.1038/s41377-023-01151-0
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author Song, Seungri
Kim, Jeongsoo
Moon, Taegyun
Seong, Baekcheon
Kim, Woovin
Yoo, Chang-Hyuk
Choi, Jun-Kyu
Joo, Chulmin
author_facet Song, Seungri
Kim, Jeongsoo
Moon, Taegyun
Seong, Baekcheon
Kim, Woovin
Yoo, Chang-Hyuk
Choi, Jun-Kyu
Joo, Chulmin
author_sort Song, Seungri
collection PubMed
description 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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spelling pubmed-101958192023-05-20 Polarization-sensitive intensity diffraction tomography Song, Seungri Kim, Jeongsoo Moon, Taegyun Seong, Baekcheon Kim, Woovin Yoo, Chang-Hyuk Choi, Jun-Kyu Joo, Chulmin Light Sci Appl Article 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. Nature Publishing Group UK 2023-05-18 /pmc/articles/PMC10195819/ /pubmed/37202421 http://dx.doi.org/10.1038/s41377-023-01151-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Song, Seungri
Kim, Jeongsoo
Moon, Taegyun
Seong, Baekcheon
Kim, Woovin
Yoo, Chang-Hyuk
Choi, Jun-Kyu
Joo, Chulmin
Polarization-sensitive intensity diffraction tomography
title Polarization-sensitive intensity diffraction tomography
title_full Polarization-sensitive intensity diffraction tomography
title_fullStr Polarization-sensitive intensity diffraction tomography
title_full_unstemmed Polarization-sensitive intensity diffraction tomography
title_short Polarization-sensitive intensity diffraction tomography
title_sort polarization-sensitive intensity diffraction tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195819/
https://www.ncbi.nlm.nih.gov/pubmed/37202421
http://dx.doi.org/10.1038/s41377-023-01151-0
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