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Deep intravital brain tumor imaging enabled by tailored three-photon microscopy and analysis.

Authors :
Schubert, Marc Cicero
Soyka, Stella Judith
Tamimi, Amr
Maus, Emanuel
Schroers, Julian
Wißmann, Niklas
Reyhan, Ekin
Tetzlaff, Svenja Kristin
Yang, Yvonne
Denninger, Robert
Peretzke, Robin
Beretta, Carlo
Drumm, Michael
Heuer, Alina
Buchert, Verena
Steffens, Alicia
Walshon, Jordain
McCortney, Kathleen
Heiland, Sabine
Bendszus, Martin
Source :
Nature Communications; 9/10/2024, Vol. 15 Issue 1, p1-21, 21p
Publication Year :
2024

Abstract

Intravital 2P-microscopy enables the longitudinal study of brain tumor biology in superficial mouse cortex layers. Intravital microscopy of the white matter, an important route of glioblastoma invasion and recurrence, has not been feasible, due to low signal-to-noise ratios and insufficient spatiotemporal resolution. Here, we present an intravital microscopy and artificial intelligence-based analysis workflow (Deep3P) that enables longitudinal deep imaging of glioblastoma up to a depth of 1.2 mm. We find that perivascular invasion is the preferred invasion route into the corpus callosum and uncover two vascular mechanisms of glioblastoma migration in the white matter. Furthermore, we observe morphological changes after white matter infiltration, a potential basis of an imaging biomarker during early glioblastoma colonization. Taken together, Deep3P allows for a non-invasive intravital investigation of brain tumor biology and its tumor microenvironment at subcortical depths explored, opening up opportunities for studying the neuroscience of brain tumors and other model systems. Observation of glioblastoma invasion in subcortical brain regions is challenging. Here the authors develop a Deep3P workflow to enable longitudinal deep imaging of glioblastoma and its microenvironment by combining three-photon microscopy and deep learning-based analysis, unraveling the invasion routes of these tumor cells into and within the white matter. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
179553496
Full Text :
https://doi.org/10.1038/s41467-024-51432-4