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Whole-Brain Vasculature Reconstruction at the Single Capillary Level

  Articoli su Riviste JCR/ISI  (anno 2018)

Autori:  Di Giovanna A.P., Tibo A., Silvestri L., Muellenbroich M.C., Costantini I., Allegra Mascaro A.L., Sacconi L., Frasconi P., Pavone F

Affiliazione Autori:  European Laboratory for Non-Linear Spectroscopy, University of Florence, Via Nello Carrara 1, Sesto Fiorentino, 50019, Italy; Department of Information Engineering (DINFO), University of Florence, Via di S. Marta 3, Florence, 50139, Italy; National Institute of Optics, National Research Council, Largo Fermi 6, Florence, 50125, Italy; Neuroscience Institute, National Research Council, Via Giuseppe Moruzzi 1, Pisa, 56125, Italy; Department of Physics and Astronomy, University of Florence, Via Sansone 1, Sesto Fiorentino, 50019, Italy

Riassunto:  The distinct organization of the brain's vascular network ensures that it is adequately supplied with oxygen and nutrients. However, despite this fundamental role, a detailed reconstruction of the brain-wide vasculature at the capillary level remains elusive, due to insufficient image quality using the best available techniques. Here, we demonstrate a novel approach that improves vascular demarcation by combining CLARITY with a vascular staining approach that can fill the entire blood vessel lumen and imaging with light-sheet fluorescence microscopy. This method significantly improves image contrast, particularly in depth, thereby allowing reliable application of automatic segmentation algorithms, which play an increasingly important role in high-throughput imaging of the terabyte-sized datasets now routinely produced. Furthermore, our novel method is compatible with endogenous fluorescence, thus allowing simultaneous investigations of vasculature and genetically targeted neurons. We believe our new method will be valuable for future brain-wide investigations of the capillary network.

Volume n.:  8      Pagine da: 12573-1  a: 12573-11
DOI: 10.1038/s41598-018-30533-3

   *Citazioni: 3
data tratti da "WEB OF SCIENCE" (marchio registrato di Thomson Reuters) ed aggiornati a:  19/05/2019

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