Preclinical imaging methods such as magnetic resonance microscopy (µMRI), micro-computed tomography (µCT) and optical techniques such as multiphoton microscopy (MPM) have been instrumental in advancing our understanding of the role of vasculature in cancer1. However, integrating vascular microenvironmental data across modalities and spatial scales for novel “image-based” cancer systems biology applications2 remains a challenge. Therefore, we developed a multimodality imaging pipeline that achieves multiscale data integration, image co-registration and results in the generation of “cancer atlases” for systems and computational biology applications.
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