显微镜
荧光
荧光显微镜
电子显微镜
光学
生物系统
生物物理学
材料科学
物理
生物
作者
Chawin Ounkomol,Sharmishtaa Seshamani,Mary M. Maleckar,Forrest Collman,Gregory R. Johnson
出处
期刊:Nature Methods
[Springer Nature]
日期:2018-09-06
卷期号:15 (11): 917-920
被引量:434
标识
DOI:10.1038/s41592-018-0111-2
摘要
Understanding cells as integrated systems is central to modern biology. Although fluorescence microscopy can resolve subcellular structure in living cells, it is expensive, is slow, and can damage cells. We present a label-free method for predicting three-dimensional fluorescence directly from transmitted-light images and demonstrate that it can be used to generate multi-structure, integrated images. The method can also predict immunofluorescence (IF) from electron micrograph (EM) inputs, extending the potential applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI