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13 March 2024 All-optical quantitative phase imaging through random diffusers using a diffractive network
Yuhang Li, Yi Luo, Deniz Mengu, Bijie Bai, Aydogan Ozcan
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Proceedings Volume PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences; PC128570O (2024) https://doi.org/10.1117/12.3000652
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
We present an approach for quantitative phase imaging (QPI) through random, unknown phase diffusers using a diffractive optical network consisting of successive layers optimized through deep learning. Unlike traditional digital reconstruction methods, our all-optical diffractive processor requires no external power beyond the illumination light and completes its QPI reconstruction as the light is transmitted through a thin diffractive processor. With its low power consumption, high frame rate, and compact size, our design offers a transformative alternative for QPI through random, unknown phase diffusers, and it can be readily scaled to work at different wavelengths for various applications in biomedical imaging.
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Yuhang Li, Yi Luo, Deniz Mengu, Bijie Bai, and Aydogan Ozcan "All-optical quantitative phase imaging through random diffusers using a diffractive network", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC128570O (13 March 2024); https://doi.org/10.1117/12.3000652
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KEYWORDS
Diffusers
Optical networks
Phase imaging
Image restoration
Digital Light Processing
Biological samples
Design and modelling
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