显微镜
工件(错误)
显微镜
领域(数学)
计算机视觉
深度学习
光场
迭代重建
光学
人工智能
计算机科学
物理
数学
纯数学
出处
期刊:Nature Methods
[Springer Nature]
日期:2021-05-01
卷期号:18 (5): 459-460
被引量:4
标识
DOI:10.1038/s41592-021-01151-1
摘要
Light-field microscopes can image three-dimensional dynamics of biological samples at unprecedented speed, but the computational reconstruction necessary for image formation is artifact-prone and time-consuming. Deep learning closes this gap between imaging and reconstruction speed.
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