Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors

Kostrikov et al. report a deficiency of transcardial perfusion in brain tumor vasculature, which leads to exaggeration of drug extravasation measurements. They then demonstrate how optical tissue clearing can help to overcome this limitation and provide two machine learning-based image analysis work...

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Autores principales:	Serhii Kostrikov, Kasper B. Johnsen, Thomas H. Braunstein, Johann M. Gudbergsson, Frederikke P. Fliedner, Elisabeth A. A. Obara, Petra Hamerlik, Anders E. Hansen, Andreas Kjaer, Casper Hempel, Thomas L. Andresen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/351a278571824c1bab11d20eb4f1160f
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spelling	oai:doaj.org-article:351a278571824c1bab11d20eb4f1160f2021-12-02T14:34:00ZOptical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors10.1038/s42003-021-02275-y2399-3642https://doaj.org/article/351a278571824c1bab11d20eb4f1160f2021-07-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02275-yhttps://doaj.org/toc/2399-3642Kostrikov et al. report a deficiency of transcardial perfusion in brain tumor vasculature, which leads to exaggeration of drug extravasation measurements. They then demonstrate how optical tissue clearing can help to overcome this limitation and provide two machine learning-based image analysis workflows enabling detailed quantitative characterization of compound extravasation patterns as well as tumor angioarchitecture in large three-dimensional datasets.Serhii KostrikovKasper B. JohnsenThomas H. BraunsteinJohann M. GudbergssonFrederikke P. FliednerElisabeth A. A. ObaraPetra HamerlikAnders E. HansenAndreas KjaerCasper HempelThomas L. AndresenNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Serhii Kostrikov Kasper B. Johnsen Thomas H. Braunstein Johann M. Gudbergsson Frederikke P. Fliedner Elisabeth A. A. Obara Petra Hamerlik Anders E. Hansen Andreas Kjaer Casper Hempel Thomas L. Andresen Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors
description	Kostrikov et al. report a deficiency of transcardial perfusion in brain tumor vasculature, which leads to exaggeration of drug extravasation measurements. They then demonstrate how optical tissue clearing can help to overcome this limitation and provide two machine learning-based image analysis workflows enabling detailed quantitative characterization of compound extravasation patterns as well as tumor angioarchitecture in large three-dimensional datasets.
format	article
author	Serhii Kostrikov Kasper B. Johnsen Thomas H. Braunstein Johann M. Gudbergsson Frederikke P. Fliedner Elisabeth A. A. Obara Petra Hamerlik Anders E. Hansen Andreas Kjaer Casper Hempel Thomas L. Andresen
author_facet	Serhii Kostrikov Kasper B. Johnsen Thomas H. Braunstein Johann M. Gudbergsson Frederikke P. Fliedner Elisabeth A. A. Obara Petra Hamerlik Anders E. Hansen Andreas Kjaer Casper Hempel Thomas L. Andresen
author_sort	Serhii Kostrikov
title	Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors
title_short	Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors
title_full	Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors
title_fullStr	Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors
title_full_unstemmed	Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors
title_sort	optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/351a278571824c1bab11d20eb4f1160f
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Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors

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