Ruixuan Zhao

I am a PhD student IN THE Electrical and Computer Engineering department AT THE University of California, Los Angeles, supervised by professor Liang Gao. I received AN M.S. degree in June 2021 in ECE at UCLA, where I worked in professor Mona Jarrahi 's lab. Prior to UCLA, I received A B.S. degree in Optoelectronic Engineering at Huazhong Univerisity of Science and Technology, where I was introduced to the world of optical imaging. My research interests are in Computational Imaging, Hyperspectral Imaging and High Speed Multidimentional Imaging.

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Education
  • University of California, Los Angeles
    University of California, Los Angeles
    Ph.D. in Electrical and Computer Engineering
    Sep. 2019 - Present
  • University of California, Los Angeles
    University of California, Los Angeles
    MS. in Electrical and Computer Engineering
    Sep. 2019 - June. 2021
  • Huazhong Univerisity of Science and Technology
    Huazhong Univerisity of Science and Technology
    B.S. in Optoelectronic Engineering
    Sep. 2015 - June. 2019
News
2024
I attended SPIE Pohtonics West 2024 and give a oral presentation of our recent compressive snapshot hyperspectral imaging system. Read more
Jan 30
2023
Our work on coded aperture snapshot hyperspectral light field tomography has been published on Optics Express (Editor's pick/Optica image of the week).
Oct 05
Our work on coded aperture snapshot fundus camera has been published on Scientific Report
Jul 01
I attended SPIE Pohtonics West 2023 and had a oral presentation of our hyperspectral camera for retina imaging application. Read more
Jan 29
Selected Publications (view all )
Kilohertz volumetric imaging of in-vivo dynamics using squeezed light field microscopy
Kilohertz volumetric imaging of in-vivo dynamics using squeezed light field microscopy

Zhaoqiang Wang*, Ruixuan Zhao*, Daniel A Wagenaar, Wenjun Kang, Calvin Lee, William Schmidt, Aryan Pammar, Enbo Zhu, Gerard CL Wong, Rongguang Liang, Tzung Hsiai, Liang Gao (* equal contribution)

biorxiv 2024 Spotlight

We present squeezed light field microscopy (SLIM), a computational imaging method that enables rapid detection of high-resolution three-dimensional (3D) light signals using only a single, low-format camera sensor area. SLIM pushes the boundaries of 3D optical microscopy, achieving over one thousand volumes per second across a large field of view of 550 μm in diameter and 300 μm in depth. Using SLIM, we demonstrated blood cell velocimetry across the embryonic zebrafish brain and in a free-moving tail exhibiting high-frequency swinging motion.

[Paper]

Kilohertz volumetric imaging of in-vivo dynamics using squeezed light field microscopy
Kilohertz volumetric imaging of in-vivo dynamics using squeezed light field microscopy

Zhaoqiang Wang*, Ruixuan Zhao*, Daniel A Wagenaar, Wenjun Kang, Calvin Lee, William Schmidt, Aryan Pammar, Enbo Zhu, Gerard CL Wong, Rongguang Liang, Tzung Hsiai, Liang Gao (* equal contribution)

biorxiv 2024 Spotlight

We present squeezed light field microscopy (SLIM), a computational imaging method that enables rapid detection of high-resolution three-dimensional (3D) light signals using only a single, low-format camera sensor area. SLIM pushes the boundaries of 3D optical microscopy, achieving over one thousand volumes per second across a large field of view of 550 μm in diameter and 300 μm in depth. Using SLIM, we demonstrated blood cell velocimetry across the embryonic zebrafish brain and in a free-moving tail exhibiting high-frequency swinging motion.

[Paper]

Coded aperture snapshot hyperspectral light field tomography
Coded aperture snapshot hyperspectral light field tomography

Ruixuan Zhao, Qi Cui, Zhaoqiang Wang, Liang Gao

Optics Express 2023 Editors Pick Optica Image of the week

We develope a novel two-stage cascaded compressed sensing scheme. By appropriately distributing the computation load to each stage, this method utilizes the compressibility of natural scenes in multiple domains, reducing the ill-posed nature of datacube recovery and achieving enhanced spatial resolution, suppressed aliasing artifacts, and improved spectral fidelity. Our approach efficiently records a five-dimensional (5D) plenoptic function in a single snapshot.

[Paper]

Coded aperture snapshot hyperspectral light field tomography
Coded aperture snapshot hyperspectral light field tomography

Ruixuan Zhao, Qi Cui, Zhaoqiang Wang, Liang Gao

Optics Express 2023 Editors Pick Optica Image of the week

We develope a novel two-stage cascaded compressed sensing scheme. By appropriately distributing the computation load to each stage, this method utilizes the compressibility of natural scenes in multiple domains, reducing the ill-posed nature of datacube recovery and achieving enhanced spatial resolution, suppressed aliasing artifacts, and improved spectral fidelity. Our approach efficiently records a five-dimensional (5D) plenoptic function in a single snapshot.

[Paper]

Coded aperture snapshot spectral imaging fundus camera
Coded aperture snapshot spectral imaging fundus camera

Ruixuan Zhao, Chengshuai Yang, R. Theodore Smith, Liang Gao

Scientific Reports 2023

We develope a prototype coded-aperture snapshot spectral imaging (HSI) fundus camera designed for clinical retinal imaging applications, incorporating a robust deep learning-based reconstruction method. The snapshot HSI fundus camera was demonstrated in in vivo retinal autofluorescence imaging of patients with age-related macular degeneration (AMD). Beyond its utility for AMD, HSI has also proven effective in identifying spectral biomarkers associated with other neurodegenerative conditions.

[Paper]

Coded aperture snapshot spectral imaging fundus camera
Coded aperture snapshot spectral imaging fundus camera

Ruixuan Zhao, Chengshuai Yang, R. Theodore Smith, Liang Gao

Scientific Reports 2023

We develope a prototype coded-aperture snapshot spectral imaging (HSI) fundus camera designed for clinical retinal imaging applications, incorporating a robust deep learning-based reconstruction method. The snapshot HSI fundus camera was demonstrated in in vivo retinal autofluorescence imaging of patients with age-related macular degeneration (AMD). Beyond its utility for AMD, HSI has also proven effective in identifying spectral biomarkers associated with other neurodegenerative conditions.

[Paper]

All publications