Deep-learning-enhanced light-field microscopy

被引:0
作者
Kai Wang
机构
[1] Chinese Academy of Sciences,Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology
[2] University of Chinese Academy of Sciences,undefined
[3] Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology,undefined
来源
Nature Methods | 2021年 / 18卷
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暂无
中图分类号
学科分类号
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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页码:459 / 460
页数:1
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共 10 条
[1]  
Levoy M(2006)undefined ACM Trans. Graph. 25 924-934
[2]  
Broxton M(2013)undefined Opt. Express 21 25418-25439
[3]  
Weigert M(2018)undefined Nat. Methods 15 1090-1097
[4]  
Zhu B(2018)undefined Nature 555 487-492
[5]  
Liu JZ(2019)undefined Nat. Methods 16 1215-1225
[6]  
Cauley SF(undefined)undefined undefined undefined undefined-undefined
[7]  
Rosen BR(undefined)undefined undefined undefined undefined-undefined
[8]  
Rosen MS(undefined)undefined undefined undefined undefined-undefined
[9]  
Belthangady C(undefined)undefined undefined undefined undefined-undefined
[10]  
Royer LA(undefined)undefined undefined undefined undefined-undefined