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...

Descripción completa

Guardado en:
Detalles Bibliográficos
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:
Acceso en línea:https://doaj.org/article/351a278571824c1bab11d20eb4f1160f
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Descripción
Sumario: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.