235 citations · 273 across the 6 of their papers we have counts for
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Neural Lithography: Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Photolithography Simulator
Cheng Zheng, Guangyuan Zhao, Peter T. C. So
We introduce neural lithography to address the 'design-to-manufacturing' gap in computational optics. Computational optics with large design degrees of freedom enable advanced func…
On the use of deep learning for phase recovery
Kaiqiang Wang, Li Song, Chutian Wang +8
Phase recovery (PR) refers to calculating the phase of the light field from its intensity measurements. As exemplified from quantitative phase imaging and coherent diffraction imag…
High-performance real-world optical computing trained by in situ gradient-based model-free optimization
Guangyuan Zhao, Xin Shu, Renjie Zhou
Optical computing systems provide high-speed and low-energy data processing but face deficiencies in computationally demanding training and simulation-to-reality gaps. We propose a…
3D super-resolved multi-angle TIRF via polarization modulation
Cheng Zheng, Guangyuan Zhao, Wenjie Liu +6
Measuring the three dimension nanoscale organization of protein or cellular structures is challenging, especially when the structure is dynamic. Owing to the informative total inte…
Nonlinear focal modulation microscopy
Guangyuan Zhao, Cheng Zheng, Cuifang Kuang +8
Here we report nonlinear focal modulation microscopy (NFOMM) to achieve super-resolution imaging. Abandoning the previous persistence on minimizing the size of Gaussian emission pa…
Saturated absorption competition microscopy
Guangyuan Zhao, Mohammad M Kabir, Kimani C. Toussaint +4
We introduce the concept of saturated absorption competition (SAC) microscopy as a means of providing sub-diffraction spatial resolution in fluorescence imaging. Unlike the post-co…