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Realistic 3D coherent transfer function inverse filtering of complex fields

We present a novel technique for three-dimensional (3D) image processing of complex fields. It consists in inverting the coherent image formation by filtering the complex spectrum with a realistic 3D coherent transfer function (CTF) of a high-NA digital holographic microscope. By combining scatterin...

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Detalles Bibliográficos
Autores principales: Cotte, Yann, Toy, Fatih M., Arfire, Cristian, Kou, Shan Shan, Boss, Daniel, Bergoënd, Isabelle, Depeursinge, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3149520/
https://www.ncbi.nlm.nih.gov/pubmed/21833359
http://dx.doi.org/10.1364/BOE.2.002216
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author Cotte, Yann
Toy, Fatih M.
Arfire, Cristian
Kou, Shan Shan
Boss, Daniel
Bergoënd, Isabelle
Depeursinge, Christian
author_facet Cotte, Yann
Toy, Fatih M.
Arfire, Cristian
Kou, Shan Shan
Boss, Daniel
Bergoënd, Isabelle
Depeursinge, Christian
author_sort Cotte, Yann
collection PubMed
description We present a novel technique for three-dimensional (3D) image processing of complex fields. It consists in inverting the coherent image formation by filtering the complex spectrum with a realistic 3D coherent transfer function (CTF) of a high-NA digital holographic microscope. By combining scattering theory and signal processing, the method is demonstrated to yield the reconstruction of a scattering object field. Experimental reconstructions in phase and amplitude are presented under non-design imaging conditions. The suggested technique is best suited for an implementation in high-resolution diffraction tomography based on sample or illumination rotation.
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spelling pubmed-31495202011-08-10 Realistic 3D coherent transfer function inverse filtering of complex fields Cotte, Yann Toy, Fatih M. Arfire, Cristian Kou, Shan Shan Boss, Daniel Bergoënd, Isabelle Depeursinge, Christian Biomed Opt Express Image Reconstruction and Inverse Problems We present a novel technique for three-dimensional (3D) image processing of complex fields. It consists in inverting the coherent image formation by filtering the complex spectrum with a realistic 3D coherent transfer function (CTF) of a high-NA digital holographic microscope. By combining scattering theory and signal processing, the method is demonstrated to yield the reconstruction of a scattering object field. Experimental reconstructions in phase and amplitude are presented under non-design imaging conditions. The suggested technique is best suited for an implementation in high-resolution diffraction tomography based on sample or illumination rotation. Optical Society of America 2011-07-08 /pmc/articles/PMC3149520/ /pubmed/21833359 http://dx.doi.org/10.1364/BOE.2.002216 Text en ©2011 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.
spellingShingle Image Reconstruction and Inverse Problems
Cotte, Yann
Toy, Fatih M.
Arfire, Cristian
Kou, Shan Shan
Boss, Daniel
Bergoënd, Isabelle
Depeursinge, Christian
Realistic 3D coherent transfer function inverse filtering of complex fields
title Realistic 3D coherent transfer function inverse filtering of complex fields
title_full Realistic 3D coherent transfer function inverse filtering of complex fields
title_fullStr Realistic 3D coherent transfer function inverse filtering of complex fields
title_full_unstemmed Realistic 3D coherent transfer function inverse filtering of complex fields
title_short Realistic 3D coherent transfer function inverse filtering of complex fields
title_sort realistic 3d coherent transfer function inverse filtering of complex fields
topic Image Reconstruction and Inverse Problems
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3149520/
https://www.ncbi.nlm.nih.gov/pubmed/21833359
http://dx.doi.org/10.1364/BOE.2.002216
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