Fluorescence microscopy tensor imaging representations for large-scale dataset analysis

  • Vinegoni, Claudio; 
  • Feruglio, Paolo Fumene; 
  • Courties, Gabriel; 
  • Schmidt, Stephen; 
  • Hulsmans, Maarten; 
  • ... Lee, Sungon; 
  • 외 4명
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초록

Understanding complex biological systems requires the system-wide characterization of cellular and molecular features. Recent advances in optical imaging technologies and chemical tissue clearing have facilitated the acquisition of whole-organ imaging datasets, but automated tools for their quantitative analysis and visualization are still lacking. We have here developed a visualization technique capable of providing whole-organ tensor imaging representations of local regional descriptors based on fluorescence data acquisition. This method enables rapid, multiscale, analysis and virtualization of large-volume, high-resolution complex biological data while generating 3D tractographic representations. Using the murine heart as a model, our method allowed us to analyze and interrogate the cardiac microvasculature and the tissue resident macrophage distribution and better infer and delineate the underlying structural network in unprecedented detail.

키워드

SINGLE-CELL RESOLUTION; WHOLE-BRAIN; DIFFUSION; MRI; ORIENTATION; MICROSTRUCTURE; VISUALIZATION; TRACTOGRAPHY; VALIDATION; PRINCIPLES
제목
Fluorescence microscopy tensor imaging representations for large-scale dataset analysis
저자
Vinegoni, Claudio; Feruglio, Paolo Fumene; Courties, Gabriel; Schmidt, Stephen; Hulsmans, Maarten; Lee, Sungon; Wang, Rui; Sosnovik, David; Nahrendorf, Matthias; Weissleder, Ralph
DOI
10.1038/s41598-020-62233-2
발행일
2020-03
유형
Article
저널명
Scientific Reports
권
10
호
1
페이지
1 ~ 15