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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
WEB OF SCIENCE
10SCOPUS
10초록
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
- 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
- 발행일
- 2020-03
- 유형
- Article
- 권
- 10
- 호
- 1
- 페이지
- 1 ~ 15
- 언어
- ENG
- 출판사
- NATURE PORTFOLIO
- 발행국가
- 영국
- 분량
- 15 페이지
- ISSN
- P 2045-2322