Mingxuan Cai

I am a third-year Ph.D. student at Berkeley EECS Department, advised by Prof. Laura Waller. Previously, I had the privilege to work with Prof. Cuifang Kuang at Zhejiang University.

My recent research focuses on Computational Imaging, with applications in space-time imaging, event-based vision, and computational fluorescence imaging.

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Publications
lft Event2Audio: Event-based Optical Vibration Sensing
Mingxuan Cai*, Dekel Galor*, Amit P. Kohli, Jacob L. Yates, Laura Waller
ICCP, 2025  
PDF (coming soon)

We use event camera and active illumination to capture small vibrations, matching state-of-the-art quality at much faster speeds for audio recovery.

lft Fluorescence Interference Structured Illumination Microscopy for 3D Morphology Imaging with High Axial Resolution
Yile Sun*, Hongfei Zhu*, Lu Yin, Hanmeng Wu, Mingxuan Cai, Weiyun Sun, Yueshu Xu, Xinxun Yang, Jiaxiao Han, Wenjie Liu, Yubin Han, Xiang Hao, Renjie Zhou, Cuifang Kuang, Xu Liu
Advanced Photonics, 2023  (Cover Article)
PDF / supplement

Rapid 4D image acquisition with 30 nm axial resolution across half the wavelength depth range, all achieved without z-axis scanning.

lft Computational Wavefront Shaping with Epi-mode Refractive Index Microscopy
Mingxuan Cai, Kevin C. Zhou, Yi Xue, Laura Waller
COSI, 2023  
PDF

Random-access 3D focusing through scattering, using prior knowledge of the reconstructed 3D refractive index from epi-mode measurements.

lft Modulated Illumination Localization Microscopy-enabled Sub-10 nm Resolution
Yile Sun*, Lu Yin*, Mingxuan Cai, Hanmeng Wu, Cuifang Kuang, Xu Liu
JIOHS, 2022  
PDF

A review of modulated illumination localization microscopy (MILM), enabling sub-10 nm ultra-high-resolution imaging.

lft Total Variation and Spatial Iteration-based 3D Structured Illumination Microscopy
Mingxuan Cai*, Hongfei Zhu*, Yile Sun, Lu Yin, Fanghui Xu, Hanmeng Wu, Xiang Hao, Renjie Zhou, Cuifang Kuang, Xu Liu
Optics Express, 2022  
PDF

We enhance 3D-SIM reconstruction fidelity and speed, even with limited measurements, using a regularization-based iterative algorithm.

r2s 3D Super-resolution Microscopy Based on Nonlinear Gradient Descent Structured Illumination
Hongfei Zhu*, Yile Sun*, Lu Yin, Jiaxiao Han, Mingxuan Cai, Qiulan Liu, Cuifang Kuang, Xiang Hao, Xu Liu
Optics Express, 2021  
PDF

We propose NGD-SIM, a novel iterative algorithm for improved 3D-SIM reconstruction fidelity compared with traditional linear algorithm.


Last updated June. 2025.
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