Cargando…
Automated motion artifact removal for intravital microscopy, without a priori information
Intravital fluorescence microscopy, through extended penetration depth and imaging resolution, provides the ability to image at cellular and subcellular resolution in live animals, presenting an opportunity for new insights into in vivo biology. Unfortunately, physiological induced motion components...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3968488/ https://www.ncbi.nlm.nih.gov/pubmed/24676021 http://dx.doi.org/10.1038/srep04507 |
_version_ | 1782309162409000960 |
---|---|
author | Lee, Sungon Vinegoni, Claudio Sebas, Matthew Weissleder, Ralph |
author_facet | Lee, Sungon Vinegoni, Claudio Sebas, Matthew Weissleder, Ralph |
author_sort | Lee, Sungon |
collection | PubMed |
description | Intravital fluorescence microscopy, through extended penetration depth and imaging resolution, provides the ability to image at cellular and subcellular resolution in live animals, presenting an opportunity for new insights into in vivo biology. Unfortunately, physiological induced motion components due to respiration and cardiac activity are major sources of image artifacts and impose severe limitations on the effective imaging resolution that can be ultimately achieved in vivo. Here we present a novel imaging methodology capable of automatically removing motion artifacts during intravital microscopy imaging of organs and orthotopic tumors. The method is universally applicable to different laser scanning modalities including confocal and multiphoton microscopy, and offers artifact free reconstructions independent of the physiological motion source and imaged organ. The methodology, which is based on raw data acquisition followed by image processing, is here demonstrated for both cardiac and respiratory motion compensation in mice heart, kidney, liver, pancreas and dorsal window chamber. |
format | Online Article Text |
id | pubmed-3968488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-39684882014-03-28 Automated motion artifact removal for intravital microscopy, without a priori information Lee, Sungon Vinegoni, Claudio Sebas, Matthew Weissleder, Ralph Sci Rep Article Intravital fluorescence microscopy, through extended penetration depth and imaging resolution, provides the ability to image at cellular and subcellular resolution in live animals, presenting an opportunity for new insights into in vivo biology. Unfortunately, physiological induced motion components due to respiration and cardiac activity are major sources of image artifacts and impose severe limitations on the effective imaging resolution that can be ultimately achieved in vivo. Here we present a novel imaging methodology capable of automatically removing motion artifacts during intravital microscopy imaging of organs and orthotopic tumors. The method is universally applicable to different laser scanning modalities including confocal and multiphoton microscopy, and offers artifact free reconstructions independent of the physiological motion source and imaged organ. The methodology, which is based on raw data acquisition followed by image processing, is here demonstrated for both cardiac and respiratory motion compensation in mice heart, kidney, liver, pancreas and dorsal window chamber. Nature Publishing Group 2014-03-28 /pmc/articles/PMC3968488/ /pubmed/24676021 http://dx.doi.org/10.1038/srep04507 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license. The images in this article are included in the article's Creative Commons license, unless indicated otherwise in the image credit; if the image is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the image. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Article Lee, Sungon Vinegoni, Claudio Sebas, Matthew Weissleder, Ralph Automated motion artifact removal for intravital microscopy, without a priori information |
title | Automated motion artifact removal for intravital microscopy, without a priori information |
title_full | Automated motion artifact removal for intravital microscopy, without a priori information |
title_fullStr | Automated motion artifact removal for intravital microscopy, without a priori information |
title_full_unstemmed | Automated motion artifact removal for intravital microscopy, without a priori information |
title_short | Automated motion artifact removal for intravital microscopy, without a priori information |
title_sort | automated motion artifact removal for intravital microscopy, without a priori information |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3968488/ https://www.ncbi.nlm.nih.gov/pubmed/24676021 http://dx.doi.org/10.1038/srep04507 |
work_keys_str_mv | AT leesungon automatedmotionartifactremovalforintravitalmicroscopywithoutaprioriinformation AT vinegoniclaudio automatedmotionartifactremovalforintravitalmicroscopywithoutaprioriinformation AT sebasmatthew automatedmotionartifactremovalforintravitalmicroscopywithoutaprioriinformation AT weisslederralph automatedmotionartifactremovalforintravitalmicroscopywithoutaprioriinformation |