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Single-image phase retrieval using an edge illumination X-ray phase-contrast imaging setup
A method is proposed which enables the retrieval of the thickness or of the projected electron density of a sample from a single input image acquired with an edge illumination phase-contrast imaging setup. The method assumes the case of a quasi-homogeneous sample, i.e. a sample with a constant ratio...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489537/ https://www.ncbi.nlm.nih.gov/pubmed/26134813 http://dx.doi.org/10.1107/S1600577515008978 |
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author | Diemoz, Paul C. Vittoria, Fabio A. Hagen, Charlotte K. Endrizzi, Marco Coan, Paola Brun, Emmanuel Wagner, Ulrich H. Rau, Christoph Robinson, Ian K. Bravin, Alberto Olivo, Alessandro |
author_facet | Diemoz, Paul C. Vittoria, Fabio A. Hagen, Charlotte K. Endrizzi, Marco Coan, Paola Brun, Emmanuel Wagner, Ulrich H. Rau, Christoph Robinson, Ian K. Bravin, Alberto Olivo, Alessandro |
author_sort | Diemoz, Paul C. |
collection | PubMed |
description | A method is proposed which enables the retrieval of the thickness or of the projected electron density of a sample from a single input image acquired with an edge illumination phase-contrast imaging setup. The method assumes the case of a quasi-homogeneous sample, i.e. a sample with a constant ratio between the real and imaginary parts of its complex refractive index. Compared with current methods based on combining two edge illumination images acquired in different configurations of the setup, this new approach presents advantages in terms of simplicity of acquisition procedure and shorter data collection time, which are very important especially for applications such as computed tomography and dynamical imaging. Furthermore, the fact that phase information is directly extracted, instead of its derivative, can enable a simpler image interpretation and be beneficial for subsequent processing such as segmentation. The method is first theoretically derived and its conditions of applicability defined. Quantitative accuracy in the case of homogeneous objects as well as enhanced image quality for the imaging of complex biological samples are demonstrated through experiments at two synchrotron radiation facilities. The large range of applicability, the robustness against noise and the need for only one input image suggest a high potential for investigations in various research subjects. |
format | Online Article Text |
id | pubmed-4489537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-44895372015-07-14 Single-image phase retrieval using an edge illumination X-ray phase-contrast imaging setup Diemoz, Paul C. Vittoria, Fabio A. Hagen, Charlotte K. Endrizzi, Marco Coan, Paola Brun, Emmanuel Wagner, Ulrich H. Rau, Christoph Robinson, Ian K. Bravin, Alberto Olivo, Alessandro J Synchrotron Radiat Research Papers A method is proposed which enables the retrieval of the thickness or of the projected electron density of a sample from a single input image acquired with an edge illumination phase-contrast imaging setup. The method assumes the case of a quasi-homogeneous sample, i.e. a sample with a constant ratio between the real and imaginary parts of its complex refractive index. Compared with current methods based on combining two edge illumination images acquired in different configurations of the setup, this new approach presents advantages in terms of simplicity of acquisition procedure and shorter data collection time, which are very important especially for applications such as computed tomography and dynamical imaging. Furthermore, the fact that phase information is directly extracted, instead of its derivative, can enable a simpler image interpretation and be beneficial for subsequent processing such as segmentation. The method is first theoretically derived and its conditions of applicability defined. Quantitative accuracy in the case of homogeneous objects as well as enhanced image quality for the imaging of complex biological samples are demonstrated through experiments at two synchrotron radiation facilities. The large range of applicability, the robustness against noise and the need for only one input image suggest a high potential for investigations in various research subjects. International Union of Crystallography 2015-06-25 /pmc/articles/PMC4489537/ /pubmed/26134813 http://dx.doi.org/10.1107/S1600577515008978 Text en © Paul C. Diemoz et al. 2015 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Research Papers Diemoz, Paul C. Vittoria, Fabio A. Hagen, Charlotte K. Endrizzi, Marco Coan, Paola Brun, Emmanuel Wagner, Ulrich H. Rau, Christoph Robinson, Ian K. Bravin, Alberto Olivo, Alessandro Single-image phase retrieval using an edge illumination X-ray phase-contrast imaging setup |
title | Single-image phase retrieval using an edge illumination X-ray phase-contrast imaging setup |
title_full | Single-image phase retrieval using an edge illumination X-ray phase-contrast imaging setup |
title_fullStr | Single-image phase retrieval using an edge illumination X-ray phase-contrast imaging setup |
title_full_unstemmed | Single-image phase retrieval using an edge illumination X-ray phase-contrast imaging setup |
title_short | Single-image phase retrieval using an edge illumination X-ray phase-contrast imaging setup |
title_sort | single-image phase retrieval using an edge illumination x-ray phase-contrast imaging setup |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489537/ https://www.ncbi.nlm.nih.gov/pubmed/26134813 http://dx.doi.org/10.1107/S1600577515008978 |
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