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Partially coherent broadband 3D optical transfer functions with arbitrary temporal and angular power spectra
Optical diffraction tomography is a powerful technique to produce 3D volumetric images of biological samples using contrast produced by variations in the index of refraction in an unlabeled specimen. While this is typically performed with coherent illumination from a variety of angles, interest has...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AIP Publishing LLC
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080387/ https://www.ncbi.nlm.nih.gov/pubmed/37038474 http://dx.doi.org/10.1063/5.0123206 |
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author | Ledwig, Patrick Robles, Francisco E. |
author_facet | Ledwig, Patrick Robles, Francisco E. |
author_sort | Ledwig, Patrick |
collection | PubMed |
description | Optical diffraction tomography is a powerful technique to produce 3D volumetric images of biological samples using contrast produced by variations in the index of refraction in an unlabeled specimen. While this is typically performed with coherent illumination from a variety of angles, interest has grown in partially coherent methods due to the simplicity of the illumination and the computation-free axial sectioning provided by the coherence window of the source. However, such methods rely on the symmetry or discretization of a source to facilitate quantitative analysis and are unable to efficiently handle arbitrary illumination that may vary asymmetrically in angle and continuously in the spectrum, such as diffusely scattered or thermal sources. A general broadband theory may expand the scope of illumination methods available for quantitative analysis, as partially coherent sources are commonly available and may benefit from the effects of spatial and temporal incoherence. In this work, we investigate partially coherent tomographic phase microscopy from arbitrary sources regardless of angular distribution and spectrum by unifying the effects of spatial and temporal coherence into a single formulation. This approach further yields a method for efficient computation of the overall systems’ optical transfer function, which scales with O(n(3)), down from O(mn(4)) for existing convolutional methods, where n(3) is the number of spatial voxels in 3D space and m is the number of discrete wavelengths in the illumination spectrum. This work has important implications for enabling partially coherent 3D quantitative phase microscopy and refractive index tomography in virtually any transmission or epi-illumination microscope. |
format | Online Article Text |
id | pubmed-10080387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AIP Publishing LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-100803872023-04-08 Partially coherent broadband 3D optical transfer functions with arbitrary temporal and angular power spectra Ledwig, Patrick Robles, Francisco E. APL Photonics Letters Optical diffraction tomography is a powerful technique to produce 3D volumetric images of biological samples using contrast produced by variations in the index of refraction in an unlabeled specimen. While this is typically performed with coherent illumination from a variety of angles, interest has grown in partially coherent methods due to the simplicity of the illumination and the computation-free axial sectioning provided by the coherence window of the source. However, such methods rely on the symmetry or discretization of a source to facilitate quantitative analysis and are unable to efficiently handle arbitrary illumination that may vary asymmetrically in angle and continuously in the spectrum, such as diffusely scattered or thermal sources. A general broadband theory may expand the scope of illumination methods available for quantitative analysis, as partially coherent sources are commonly available and may benefit from the effects of spatial and temporal incoherence. In this work, we investigate partially coherent tomographic phase microscopy from arbitrary sources regardless of angular distribution and spectrum by unifying the effects of spatial and temporal coherence into a single formulation. This approach further yields a method for efficient computation of the overall systems’ optical transfer function, which scales with O(n(3)), down from O(mn(4)) for existing convolutional methods, where n(3) is the number of spatial voxels in 3D space and m is the number of discrete wavelengths in the illumination spectrum. This work has important implications for enabling partially coherent 3D quantitative phase microscopy and refractive index tomography in virtually any transmission or epi-illumination microscope. AIP Publishing LLC 2023-04-01 2023-04-03 /pmc/articles/PMC10080387/ /pubmed/37038474 http://dx.doi.org/10.1063/5.0123206 Text en © 2023 Author(s). https://creativecommons.org/licenses/by/4.0/All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Letters Ledwig, Patrick Robles, Francisco E. Partially coherent broadband 3D optical transfer functions with arbitrary temporal and angular power spectra |
title | Partially coherent broadband 3D optical transfer functions with arbitrary temporal and angular power spectra |
title_full | Partially coherent broadband 3D optical transfer functions with arbitrary temporal and angular power spectra |
title_fullStr | Partially coherent broadband 3D optical transfer functions with arbitrary temporal and angular power spectra |
title_full_unstemmed | Partially coherent broadband 3D optical transfer functions with arbitrary temporal and angular power spectra |
title_short | Partially coherent broadband 3D optical transfer functions with arbitrary temporal and angular power spectra |
title_sort | partially coherent broadband 3d optical transfer functions with arbitrary temporal and angular power spectra |
topic | Letters |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080387/ https://www.ncbi.nlm.nih.gov/pubmed/37038474 http://dx.doi.org/10.1063/5.0123206 |
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