多细胞生物
细胞器
显微镜
生物系统
活体细胞成像
分辨率(逻辑)
时间分辨率
生物物理学
生物
光学
细胞
物理
计算机科学
细胞生物学
人工智能
遗传学
作者
Tsung‐Li Liu,Srigokul Upadhyayula,Daniel E. Milkie,Ved Singh,Kai Wang,Ian A. Swinburne,Kishore Mosaliganti,Zach M. Collins,Tom W. Hiscock,Jamien Shea,Abraham Q. Kohrman,Taylor N. Medwig-Kinney,Daphné Dambournet,Ryan Forster,Brian Cunniff,Yuan Ruan,Hanako Yashiro,Steffen Scholpp,Elliot M. Meyerowitz,Dirk Hockemeyer
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2018-04-20
卷期号:360 (6386)
被引量:595
标识
DOI:10.1126/science.aaq1392
摘要
True physiological imaging of subcellular dynamics requires studying cells within their parent organisms, where all the environmental cues that drive gene expression, and hence the phenotypes that we actually observe, are present. A complete understanding also requires volumetric imaging of the cell and its surroundings at high spatiotemporal resolution, without inducing undue stress on either. We combined lattice light-sheet microscopy with adaptive optics to achieve, across large multicellular volumes, noninvasive aberration-free imaging of subcellular processes, including endocytosis, organelle remodeling during mitosis, and the migration of axons, immune cells, and metastatic cancer cells in vivo. The technology reveals the phenotypic diversity within cells across different organisms and developmental stages and may offer insights into how cells harness their intrinsic variability to adapt to different physiological environments.
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