Unlocking the potential of large-scale 3D imaging with tissue clearing techniques

被引:0
|
作者
Susaki, Etsuo A. [1 ,2 ,3 ,4 ]
机构
[1] Juntendo Univ, Dept Biochem & Syst Biomed, Grad Sch Med, 2-2-1 Hongo,Bunkyo Ku, Tokyo 1138421, Japan
[2] Juntendo Univ, Nakatani Biomed Spatial Hub, Grad Sch Med, 2-2-1 Hongo,Bunkyo Ku, Tokyo 1138421, Japan
[3] RIKEN Ctr Biosyst Dynam Res, Lab Synthet Biol, 1-3 Yamadaoka, Suita, Osaka 5650871, Japan
[4] Natl Inst Quantum Sci & Technol, Inst Quantum Life Sci, 4-9-1 Anagawa,Inage Ku, Chiba 2630024, Japan
基金
日本科学技术振兴机构; 日本学术振兴会;
关键词
tissue clearing; three-dimensional imaging; light-sheet fluorescence microscopy; cellomics; three-dimensional spatial omics; large data analysis; SINGLE-CELL RESOLUTION; WHOLE-BODY; 3-DIMENSIONAL VISUALIZATION; SYSTEMS BIOLOGY; INTACT-TISSUE; MICROSCOPY; ULTRAMICROSCOPY; RECONSTRUCTION; MORPHOLOGY; FRAMEWORK;
D O I
10.1093/jmicro/dfae046
中图分类号
TH742 [显微镜];
学科分类号
摘要
The three-dimensional (3D) anatomical structure of living organisms is intrinsically linked to their functions, yet modern life sciences have not fully explored this aspect. Recently, the combination of efficient tissue clearing techniques and light-sheet fluorescence microscopy for rapid 3D imaging has improved access to 3D spatial information in biological systems. This technology has found applications in various fields, including neuroscience, cancer research and clinical histopathology, leading to significant insights. It allows imaging of entire organs or even whole bodies of animals and humans at multiple scales. Moreover, it enables a form of spatial omics by capturing and analyzing cellome information, which represents the complete spatial organization of cells. While current 3D imaging of cleared tissues has limitations in obtaining sufficient molecular information, emerging technologies such as multi-round tissue staining and super-multicolor imaging are expected to address these constraints. 3D imaging using tissue clearing and light-sheet microscopy thus offers a valuable research tool in the current and future life sciences for acquiring and analyzing large-scale biological spatial information.
引用
收藏
页数:10
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