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Hybrid µCT-FMT imaging and image analysis
Fluorescence-mediated tomography (FMT) enables longitudinal and quantitative determination of the fluorescence distribution in vivo and can be used to assess the biodistribution of novel probes and to assess disease progression using established molecular probes or reporter genes. The combination wi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512251/ https://www.ncbi.nlm.nih.gov/pubmed/26066033 http://dx.doi.org/10.3791/52770 |
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author | Gremse, Felix Doleschel, Dennis Zafarnia, Sara Babler, Anne Jahnen-Dechent, Willi Lammers, Twan Lederle, Wiltrud Kiessling, Fabian |
author_facet | Gremse, Felix Doleschel, Dennis Zafarnia, Sara Babler, Anne Jahnen-Dechent, Willi Lammers, Twan Lederle, Wiltrud Kiessling, Fabian |
author_sort | Gremse, Felix |
collection | PubMed |
description | Fluorescence-mediated tomography (FMT) enables longitudinal and quantitative determination of the fluorescence distribution in vivo and can be used to assess the biodistribution of novel probes and to assess disease progression using established molecular probes or reporter genes. The combination with an anatomical modality, e.g., micro computed tomography (µCT), is beneficial for image analysis and for fluorescence reconstruction. We describe a protocol for multimodal µCT-FMT imaging including the image processing steps necessary to extract quantitative measurements. After preparing the mice and performing the imaging, the multimodal data sets are registered. Subsequently, an improved fluorescence reconstruction is performed, which takes into account the shape of the mouse. For quantitative analysis, organ segmentations are generated based on the anatomical data using our interactive segmentation tool. Finally, the biodistribution curves are generated using a batch-processing feature. We show the applicability of the method by assessing the biodistribution of a well-known probe that binds to bones and joints. |
format | Online Article Text |
id | pubmed-4512251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-45122512015-07-30 Hybrid µCT-FMT imaging and image analysis Gremse, Felix Doleschel, Dennis Zafarnia, Sara Babler, Anne Jahnen-Dechent, Willi Lammers, Twan Lederle, Wiltrud Kiessling, Fabian J Vis Exp Bioengineering Fluorescence-mediated tomography (FMT) enables longitudinal and quantitative determination of the fluorescence distribution in vivo and can be used to assess the biodistribution of novel probes and to assess disease progression using established molecular probes or reporter genes. The combination with an anatomical modality, e.g., micro computed tomography (µCT), is beneficial for image analysis and for fluorescence reconstruction. We describe a protocol for multimodal µCT-FMT imaging including the image processing steps necessary to extract quantitative measurements. After preparing the mice and performing the imaging, the multimodal data sets are registered. Subsequently, an improved fluorescence reconstruction is performed, which takes into account the shape of the mouse. For quantitative analysis, organ segmentations are generated based on the anatomical data using our interactive segmentation tool. Finally, the biodistribution curves are generated using a batch-processing feature. We show the applicability of the method by assessing the biodistribution of a well-known probe that binds to bones and joints. MyJove Corporation 2015-06-04 /pmc/articles/PMC4512251/ /pubmed/26066033 http://dx.doi.org/10.3791/52770 Text en Copyright © 2015, Journal of Visualized Experiments 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-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Bioengineering Gremse, Felix Doleschel, Dennis Zafarnia, Sara Babler, Anne Jahnen-Dechent, Willi Lammers, Twan Lederle, Wiltrud Kiessling, Fabian Hybrid µCT-FMT imaging and image analysis |
title | Hybrid µCT-FMT imaging and image analysis |
title_full | Hybrid µCT-FMT imaging and image analysis |
title_fullStr | Hybrid µCT-FMT imaging and image analysis |
title_full_unstemmed | Hybrid µCT-FMT imaging and image analysis |
title_short | Hybrid µCT-FMT imaging and image analysis |
title_sort | hybrid µct-fmt imaging and image analysis |
topic | Bioengineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512251/ https://www.ncbi.nlm.nih.gov/pubmed/26066033 http://dx.doi.org/10.3791/52770 |
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