MSIM:.

Jianhui Liao1, Chenshuang Zhang1, Xiangcong Xu1

  • 1State Key Laboratory of Radio Frequency Heterogeneous Integration, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.

概括

一种新的深度学习方法加速了多焦结构照明显微镜 (MSIM) 图像重建. 这种卷积神经网络 (CNN) 可以更快地实现超分辨率成像,并且使用更少的原始图像.

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