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Frame localisation optical projection tomography

We present a tomographic reconstruction algorithm (flOPT), which is applied to Optical Projection Tomography (OPT) images, that is robust to mechanical jitter and systematic angular and spatial drift. OPT relies on precise mechanical rotation and is less mechanically stable than large-scale computer...

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Autores principales: Russell, Craig T., Vallejo Ramirez, Pedro P., Rees, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907276/
https://www.ncbi.nlm.nih.gov/pubmed/33633142
http://dx.doi.org/10.1038/s41598-021-83454-z
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author Russell, Craig T.
Vallejo Ramirez, Pedro P.
Rees, Eric
author_facet Russell, Craig T.
Vallejo Ramirez, Pedro P.
Rees, Eric
author_sort Russell, Craig T.
collection PubMed
description We present a tomographic reconstruction algorithm (flOPT), which is applied to Optical Projection Tomography (OPT) images, that is robust to mechanical jitter and systematic angular and spatial drift. OPT relies on precise mechanical rotation and is less mechanically stable than large-scale computer tomography (CT) scanning systems, leading to reconstruction artefacts. The algorithm uses multiple (5+) tracked fiducial beads to recover the sample pose and the image rays are then back-projected at each orientation. The quality of the image reconstruction using the proposed algorithm shows an improvement when compared to the Radon transform. Moreover, when adding a systematic spatial and angular mechanical drift, the reconstruction shows a significant improvement over the Radon transform.
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spelling pubmed-79072762021-03-02 Frame localisation optical projection tomography Russell, Craig T. Vallejo Ramirez, Pedro P. Rees, Eric Sci Rep Article We present a tomographic reconstruction algorithm (flOPT), which is applied to Optical Projection Tomography (OPT) images, that is robust to mechanical jitter and systematic angular and spatial drift. OPT relies on precise mechanical rotation and is less mechanically stable than large-scale computer tomography (CT) scanning systems, leading to reconstruction artefacts. The algorithm uses multiple (5+) tracked fiducial beads to recover the sample pose and the image rays are then back-projected at each orientation. The quality of the image reconstruction using the proposed algorithm shows an improvement when compared to the Radon transform. Moreover, when adding a systematic spatial and angular mechanical drift, the reconstruction shows a significant improvement over the Radon transform. Nature Publishing Group UK 2021-02-25 /pmc/articles/PMC7907276/ /pubmed/33633142 http://dx.doi.org/10.1038/s41598-021-83454-z Text en © The Author(s) 2021 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Russell, Craig T.
Vallejo Ramirez, Pedro P.
Rees, Eric
Frame localisation optical projection tomography
title Frame localisation optical projection tomography
title_full Frame localisation optical projection tomography
title_fullStr Frame localisation optical projection tomography
title_full_unstemmed Frame localisation optical projection tomography
title_short Frame localisation optical projection tomography
title_sort frame localisation optical projection tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907276/
https://www.ncbi.nlm.nih.gov/pubmed/33633142
http://dx.doi.org/10.1038/s41598-021-83454-z
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