Zhaxylyk A Kudyshev1,2, Demid Sychev1,2, Zachariah Martin1,2

  • 1School of Electrical and Computer Engineering, Birck Nanotechnology Center and Purdue Quantum Science and Engineering Institute, Purdue University, West Lafayette, IN, USA.

Nature communications
|August 10, 2023
PubMed
概括

这项研究引入了一种机器学习方法,以加速量子超分辨率显微镜. 这种新方法通过克服对抗聚合超分辨率显微镜数据采集的瓶,显著加快成像速度.