4.8 Article

VascuViz: a multimodality and multiscale imaging and visualization pipeline for vascular systems biology

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NATURE METHODS
卷 19, 期 2, 页码 242-+

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NATURE PORTFOLIO
DOI: 10.1038/s41592-021-01363-5

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资金

  1. NIH/NCI [51R01CA196701-05, 1R01CA237597-01A1, 5R01DE027957-02]
  2. NIH Instrumentation grant [S10OD012287]
  3. Sidney Kimmel Comprehensive Cancer Center, Quantitative Sciences Pilot Project grant

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VascuViz is a versatile workflow for multimodal imaging of the vasculature, which allows simultaneous 3D imaging using magnetic resonance imaging, computed tomography, and optical microscopy. Its ease of use and compatibility with different tissue types make VascuViz a valuable tool for image-based vascular systems biology.
VascuViz represents a versatile workflow for multimodal imaging of the vasculature in ex vivo tissue samples across length and resolution scales, paving the way for improved and novel image-based vascular systems biology applications. Despite advances in imaging, image-based vascular systems biology has remained challenging because blood vessel data are often available only from a single modality or at a given spatial scale, and cross-modality data are difficult to integrate. Therefore, there is an exigent need for a multimodality pipeline that enables ex vivo vascular imaging with magnetic resonance imaging, computed tomography and optical microscopy of the same sample, while permitting imaging with complementary contrast mechanisms from the whole-organ to endothelial cell spatial scales. To achieve this, we developed 'VascuViz'-an easy-to-use method for simultaneous three-dimensional imaging and visualization of the vascular microenvironment using magnetic resonance imaging, computed tomography and optical microscopy in the same intact, unsectioned tissue. The VascuViz workflow permits multimodal imaging with a single labeling step using commercial reagents and is compatible with diverse tissue types and protocols. VascuViz's interdisciplinary utility in conjunction with new data visualization approaches opens up new vistas in image-based vascular systems biology.

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