当前位置:
X-MOL 学术
›
Nat. Methods
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Deep-learning-enhanced light-field microscopy
Nature Methods ( IF 48.0 ) Pub Date : 2021-05-07 , DOI: 10.1038/s41592-021-01151-1 Kai Wang 1, 2, 3
Nature Methods ( IF 48.0 ) Pub Date : 2021-05-07 , DOI: 10.1038/s41592-021-01151-1 Kai Wang 1, 2, 3
Affiliation
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.
中文翻译:
深度学习增强型光场显微镜
光场显微镜可以以前所未有的速度对生物样本的三维动态成像,但图像形成所需的计算重建容易出现伪影且耗时。深度学习弥补了成像和重建速度之间的差距。
更新日期:2021-05-07
中文翻译:
深度学习增强型光场显微镜
光场显微镜可以以前所未有的速度对生物样本的三维动态成像,但图像形成所需的计算重建容易出现伪影且耗时。深度学习弥补了成像和重建速度之间的差距。