Mr. Jiulou Zhang Profile

Jiulou Zhang

Doctoral Candidate at Tsinghua Univ School of Medicine

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Author

Publications (5)

SPIE Journal Paper | December 23, 2016

Tunable narrowband volume holographic imaging spectrometer for macroscopic fluorescence molecular tomography

Yanlu Lv, Jiulou Zhang, Dong Zhang, Lin Zhang, Jianwen Luo

OE Vol. 55 Issue 12

KEYWORDS: Luminescence, Spectroscopy, Holography, Imaging systems, Fluorescence tomography, Tomography, Molecular spectroscopy, Fluorescence spectroscopy, Multispectral imaging, Tissues

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SPIE Journal Paper | June 14, 2016

Fast direct reconstruction strategy of dynamic fluorescence molecular tomography using graphics processing units

Maomao Chen, Jiulou Zhang, Chuangjian Cai, Yang Gao, Jianwen Luo

JBO Vol. 21 Issue 06

KEYWORDS: Principal component analysis, Luminescence, Fluorescence tomography, Tomography, In vivo imaging, Reconstruction algorithms, Graphics processing units, Numerical simulations, Parallel computing, Kidney

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SPIE Journal Paper | June 3, 2016

In vivo simultaneous multispectral fluorescence imaging with spectral multiplexed volume holographic imaging system

Yanlu Lv, Jiulou Zhang, Dong Zhang, Wenjuan Cai, Nanguang Chen, Jianwen Luo

JBO Vol. 21 Issue 06

KEYWORDS: Multispectral imaging, Imaging systems, Multiplexing, Luminescence, Holograms, In vivo imaging, Holography, Volume holography, Diffraction, Sensors

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PROCEEDINGS ARTICLE | April 6, 2016

Multispectral excitation based multiple fluorescent targets resolving in fluorescence molecular tomography

Proc. SPIE. 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX

KEYWORDS: Independent component analysis, Tumors, Tomography, Inverse problems, Reconstruction algorithms, Molecular imaging, Fluorescence tomography

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SPIE Journal Paper | May 13, 2015

Fluorescence molecular tomography reconstruction via discrete cosine transform-based regularization

Junwei Shi, Fei Liu, Jiulou Zhang, Jianwen Luo, Jing Bai

JBO Vol. 20 Issue 05

KEYWORDS: Reconstruction algorithms, Luminescence, Signal to noise ratio, Tomography, In vivo imaging, Fluorescence tomography, 3D acquisition, 3D image processing, 3D image reconstruction, Inverse problems

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