Mr. Luzhe Huang Profile

Luzhe Huang

at Univ of California Los Angeles

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Publications (18)

SPIE Journal Paper | 26 October 2024 Open Access

Open Access

Unidirectional imaging with partially coherent light

Guangdong Ma, Che-Yung Shen, Jingxi Li, Luzhe Huang, Çağatay Işıl, Fazil Onuralp Ardic, Xilin Yang, Yuhang Li, Yuntian Wang, Md Sadman Sakib Rahman, Aydogan Ozcan

APN, Vol. 3, Issue 06, 066008, (October 2024) https://doi.org/10.1117/12.10.1117/1.APN.3.6.066008

KEYWORDS: Education and training, Imaging systems, Partial coherence, Design, Light sources and illumination, Coherence imaging, Diffraction, Image processing, Visualization, Visual process modeling

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Proceedings Article | 4 October 2024 Presentation

Presentation

Deep learning-enabled virtual staining of label-free autopsy tissue sections

Yuzhu Li, Nir Pillar, Jingxi Li, Tairan Liu, Di Wu, Songyu Sun, Guangdong Ma, Kevin de Haan, Luzhe Huang, Yijie Zhang, Sepehr Hamidi, Anatoly Urisman, Tal Haran, W. Dean Wallace, Jonathan Zuckerman, Aydogan Ozcan

Proceedings Volume PC13118, PC131180X (2024) https://doi.org/10.1117/12.3027873

KEYWORDS: Tissues, Biological samples, Nervous system, Education and training, Neural networks, COVID 19, Autofluorescence

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Proceedings Article | 4 October 2024 Presentation

Presentation

Pixel super-resolution and autofocusing in holographic imaging through deep learning

Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan

Proceedings Volume PC13118, PC1311817 (2024) https://doi.org/10.1117/12.3027384

KEYWORDS: Holography, Deep learning, Super resolution, Reconstruction algorithms, Image processing, Image enhancement, 3D image reconstruction, Tissues, Statistical modeling, Phase recovery

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Proceedings Article | 4 October 2024 Presentation

Presentation

Neural network-based virtual staining of defocused autofluorescence images of label-free tissue

Yijie Zhang, Luzhe Huang, Tairan Liu, Keyi Cheng, Kevin de Haan, Yuzhu Li, Bijie Bai, Aydogan Ozcan

Proceedings Volume PC13118, PC1311808 (2024) https://doi.org/10.1117/12.3027365

KEYWORDS: Nervous system, Neural networks, Autofluorescence, Education and training, Performance modeling, Microscopes, Lung

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Proceedings Article | 4 October 2024 Presentation

Presentation

GedankenNet: self-supervised learning of holographic imaging enabled by physics consistency

Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan

Proceedings Volume PC13118, PC1311814 (2024) https://doi.org/10.1117/12.3027298

KEYWORDS: Holography, Physics, Machine learning, Education and training, Deep learning, Data modeling, Biological samples, Biological imaging, Statistical modeling, Imaging systems

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Proceedings Article | 13 March 2024 Presentation

Presentation

Neural network uncertainty quantification in inverse imaging problems based on cycle consistency

Luzhe Huang, Jianing Li, Xiaofu Ding, Yijie Zhang, Hanlong Chen, Aydogan Ozcan

Proceedings Volume PC12903, PC129030T (2024) https://doi.org/10.1117/12.3000686

KEYWORDS: Neural networks, Inverse imaging problems, Reliability, Education and training, Super resolution, Mathematical modeling, Deep learning, Deblurring, Computational imaging, Artificial neural networks

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Proceedings Article | 13 March 2024 Presentation

Presentation

Light-field tomographic fluorescence lifetime imaging microscopy (LIFT-FLIM)

Yayao Ma, Luzhe Huang, Chandani Sen, Samuel Burri, Claudio Bruschini, Xilin Yang, Robert Cameron, Gregory Fishbein, Brigitte Gomperts, Aydogan Ozcan, Edoardo Charbon, Liang Gao

Proceedings Volume PC12857, PC1285712 (2024) https://doi.org/10.1117/12.3002375

KEYWORDS: Fluorescence lifetime imaging, Tomography, Time lapse microscopy, Single photon avalanche diodes, Imaging arrays, Stereoscopy, Microscopy, Fluorescence, Biomedical optics, 3D image processing

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Proceedings Article | 12 March 2024 Presentation + Paper

Presentation + Paper

Experiment-data-free self-supervised neural network for holographic microscopy imaging

Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan

Proceedings Volume 12852, 128520B (2024) https://doi.org/10.1117/12.3000665

KEYWORDS: Holograms, Biological samples, Microscopy, Machine learning, Biological imaging, Optical microscopy, Tissues

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Proceedings Article | 16 March 2023 Presentation

Presentation

Deep learning-based hologram reconstruction with superior external generalization (Conference Presentation)

Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan

Proceedings Volume PC12389, PC123890P (2023) https://doi.org/10.1117/12.2648180

KEYWORDS: Holograms, Tissues, Image restoration, Image processing, Holography, Statistical modeling, Spatial frequencies, Prostate, Neural networks, Lung

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Proceedings Article | 16 March 2023 Presentation

Presentation

Few-shot transfer learning using a recurrent neural network for hologram reconstruction (Conference Presentation)

Luzhe Huang, Xilin Yang, Tairan Liu, Aydogan Ozcan

Proceedings Volume PC12389, PC123890B (2023) https://doi.org/10.1117/12.2649194

KEYWORDS: Holograms, Data modeling, Neural networks, Statistical modeling, Holography, Image processing, Optical microscopy, Microscopy, Image restoration

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Proceedings Article | 6 March 2023 Presentation

Presentation

Deep learning-based virtual staining of defocused autofluorescence images of label-free tissue

Yijie Zhang, Luzhe Huang, Tairan Liu, Keyi Cheng, Kevin de Haan, Yuzhu Li, Bijie Bai, Aydogan Ozcan

Proceedings Volume PC12373, PC123730H (2023) https://doi.org/10.1117/12.2648092

KEYWORDS: Tissues, Neural networks, Performance modeling, Lung, Image acquisition

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Proceedings Article | 4 October 2022 Presentation

Presentation

Few-shot generalizable hologram reconstruction model using a recurrent neural network (RNN) (Conference Presentation)

Luzhe Huang, Xilin Yang, Tairan Liu, Aydogan Ozcan

Proceedings Volume PC12204, PC122040H (2022) https://doi.org/10.1117/12.2632636

KEYWORDS: Neural networks, Holograms, Statistical modeling, Data modeling, 3D image reconstruction, Tissues, Prostate, Performance modeling, Image restoration, Image quality

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Proceedings Article | 9 March 2022 Presentation

Presentation

Three-dimensional virtual refocusing of point-spread function engineered images using cascaded neural networks

Xilin Yang, Luzhe Huang, Yilin Luo, Yichen Wu, Hongda Wang, Yair Rivenson, Aydogan Ozcan

Proceedings Volume PC12019, PC1201906 (2022) https://doi.org/10.1117/12.2608278

KEYWORDS: Neural networks, Microscopy, Image resolution, 3D image processing, Point spread functions, Luminescence, Spatial resolution, Signal to noise ratio, Image restoration, Convolutional neural networks

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Proceedings Article | 2 March 2022 Presentation + Paper

Presentation + Paper

Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks

Luzhe Huang, Tairan Liu, Xilin Yang, Yi Luo, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11970, 119700C (2022) https://doi.org/10.1117/12.2608913

KEYWORDS: Holograms, Holography, Phase retrieval, Neural networks, Image restoration, Microscopy, Reconstruction algorithms, Lung, Tissues

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Proceedings Article | 1 August 2021 Presentation

Presentation

Virtual refocusing of fluorescence images using an engineered point-spread function and deep learning

Yang Xilin, Luzhe Huang, Yilin Luo, Yichen Wu, Hongda Wang, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11804, 1180425 (2021) https://doi.org/10.1117/12.2594416

KEYWORDS: Luminescence, Point spread functions, Image resolution, Neural networks, Microscopy, Image enhancement, Error analysis

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Proceedings Article | 1 August 2021 Presentation

Presentation

Convolutional recurrent neural network-enabled volumetric fluorescence imaging

Luzhe Huang, Hanlong Chen, Yilin Luo, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11804, 1180411 (2021) https://doi.org/10.1117/12.2594411

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Proceedings Article | 5 March 2021 Presentation

Presentation

Deep-learning-based volumetric imaging in fluorescence microscopy

Luzhe Huang, Yilin Luo, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11649, 116490G (2021) https://doi.org/10.1117/12.2580674

KEYWORDS: Luminescence, Microscopy, Temporal resolution, Stereoscopy, Reconstruction algorithms, Neural networks, Microscopes, Image restoration, Convolution, Biomedical optics

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Proceedings Article | 5 March 2021 Presentation

Presentation

Deep learning-based single-shot autofocusing of microscopy images

Luzhe Huang, Yilin Luo, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11647, 116470Y (2021) https://doi.org/10.1117/12.2580672

KEYWORDS: Microscopy, Tissues, Spherical lenses, Sensors, Luminescence, Integrated optics, Distance measurement

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Showing 5 of 18 publications

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