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Automated quantification of bioluminescence images

We developed a computer-aided analysis tool for quantitatively determining bioluminescent reporter distributions inside small animals. The core innovations are a body-fitting animal shuttle and a statistical mouse atlas, both of which are spatially aligned and scaled according to the animal’s weight...

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Detalles Bibliográficos
Autores principales: Klose, Alexander D., Paragas, Neal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189049/
https://www.ncbi.nlm.nih.gov/pubmed/30323260
http://dx.doi.org/10.1038/s41467-018-06288-w
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author Klose, Alexander D.
Paragas, Neal
author_facet Klose, Alexander D.
Paragas, Neal
author_sort Klose, Alexander D.
collection PubMed
description We developed a computer-aided analysis tool for quantitatively determining bioluminescent reporter distributions inside small animals. The core innovations are a body-fitting animal shuttle and a statistical mouse atlas, both of which are spatially aligned and scaled according to the animal’s weight, and hence provide data congruency across animals of varying size and pose. In conjunction with a multispectral bioluminescence tomography technique capitalizing on the spatial framework of the shuttle, the in vivo biodistribution of luminescent reporters can rapidly be calculated and, thus, enables operator-independent and computer-driven data analysis. We demonstrate its functionality by quantitatively monitoring a bacterial infection, where the bacterial organ burden was determined and validated with the established serial-plating method. In addition, the statistical mouse atlas was validated and compared to existing techniques providing an anatomical reference. The proposed data analysis tool promises to increase data throughput and data reproducibility and accelerate human disease modeling in mice.
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spelling pubmed-61890492018-10-17 Automated quantification of bioluminescence images Klose, Alexander D. Paragas, Neal Nat Commun Article We developed a computer-aided analysis tool for quantitatively determining bioluminescent reporter distributions inside small animals. The core innovations are a body-fitting animal shuttle and a statistical mouse atlas, both of which are spatially aligned and scaled according to the animal’s weight, and hence provide data congruency across animals of varying size and pose. In conjunction with a multispectral bioluminescence tomography technique capitalizing on the spatial framework of the shuttle, the in vivo biodistribution of luminescent reporters can rapidly be calculated and, thus, enables operator-independent and computer-driven data analysis. We demonstrate its functionality by quantitatively monitoring a bacterial infection, where the bacterial organ burden was determined and validated with the established serial-plating method. In addition, the statistical mouse atlas was validated and compared to existing techniques providing an anatomical reference. The proposed data analysis tool promises to increase data throughput and data reproducibility and accelerate human disease modeling in mice. Nature Publishing Group UK 2018-10-15 /pmc/articles/PMC6189049/ /pubmed/30323260 http://dx.doi.org/10.1038/s41467-018-06288-w Text en © The Author(s) 2018 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/.
spellingShingle Article
Klose, Alexander D.
Paragas, Neal
Automated quantification of bioluminescence images
title Automated quantification of bioluminescence images
title_full Automated quantification of bioluminescence images
title_fullStr Automated quantification of bioluminescence images
title_full_unstemmed Automated quantification of bioluminescence images
title_short Automated quantification of bioluminescence images
title_sort automated quantification of bioluminescence images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189049/
https://www.ncbi.nlm.nih.gov/pubmed/30323260
http://dx.doi.org/10.1038/s41467-018-06288-w
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