Mr. Xilin Yang Profile

Xilin Yang

at UCLA Samueli School of Engineering

SPIE Involvement:

Author

Publications (11)

Proceedings Article | 13 March 2024 Presentation

Transferring optical information through random unknown diffusers using a diffractive decoder with electronic encoding

Bijie Bai, Heming Wei, Xilin Yang, Tianyi Gan, Deniz Mengu, Mona Jarrahi, Aydogan Ozcan, Yuhang Li

Proceedings Volume PC12903, PC129030V (2024) https://doi.org/10.1117/12.3000579

KEYWORDS: Optical networks, Information visualization, Image encryption, Visual optics, Visualization, Optical computing, Design and modelling, Channel projecting optics, Structural design, Optical surfaces

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Proceedings Article | 13 March 2024 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 | 13 March 2024 Presentation

Universal linear processing of spatially incoherent light with diffractive optical processors

Md Sadman Sakib Rahman, Xilin Yang, Jingxi Li, Bijie Bai, Aydogan Ozcan

Proceedings Volume PC12903, PC129030K (2024) https://doi.org/10.1117/12.3000301

KEYWORDS: Light sources and illumination, Design and modelling, Point spread functions, Optical surfaces, Information visualization, Visualization, Spatial learning, Phase distribution, Optical coherence, Multiplexing

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SPIE Journal Paper | 19 January 2024 Open Access

Complex-valued universal linear transformations and image encryption using spatially incoherent diffractive networks

Xilin Yang, Md Sadman Sakib Rahman, Bijie Bai, Jingxi Li, Aydogan Ozcan

APN, Vol. 3, Issue 01, 016010, (January 2024) https://doi.org/10.1117/12.10.1117/1.APN.3.1.016010

KEYWORDS: Image encryption, Education and training, Data processing, Point spread functions, Light sources and illumination, Image processing, Matrices, Geometrical optics, Visualization, Photonics

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Proceedings Article | 28 September 2023 Presentation

Data class-specific all-optical transformations using diffractive computing

Bijie Bai, Heming Wei, Xilin Yang, Tianyi Gan, Deniz Mengu, Mona Jarrahi, Aydogan Ozcan

Proceedings Volume PC12655, PC126550U (2023) https://doi.org/10.1117/12.2678154

KEYWORDS: Matrices, Information visualization, Image encryption, Visualization, Visual optics, Neural networks, Light sources and illumination, Image sensors, Free space optics, Engineering

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Proceedings Article | 16 March 2023 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

Virtual stain-to-stain transformations via cascaded deep neural networks

Xilin Yang, Bijie Bai, Yuzhu Li, Yijie Zhang, Tairan Liu, Kevin de Haan, Aydogan Ozcan

Proceedings Volume PC12371, PC123710C (2023) https://doi.org/10.1117/12.2648101

KEYWORDS: Neural networks, Tissues, Data modeling, Kidney, Image quality, Diagnostics, Biopsy

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Proceedings Article | 4 October 2022 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

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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