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作 者:Che-Yung Shen Jingxi Li Yuhang Li Tianyi Gan Langxing Bai Mona Jarrahi Aydogan Ozcan
机构地区:[1]University of California,Los Angeles,Electrical and Computer Engineering Department,Los Angeles,California,United States [2]University of California,Los Angeles,Bioengineering Department,Los Angeles,California,United States [3]University of California,Los Angeles,California NanoSystems Institute,Los Angeles,California,United States [4]University of California,Los Angeles,Department of Computer Science,Los Angeles,California,United States
出 处:《Advanced Photonics》2024年第5期51-69,共19页先进光子学(英文)
基 金:supported by the U.S.Department of Energy,Office of Basic Energy Sciences,Division of Materials Sciences and Engineering(Grant No.DE-SC0023088).
摘 要:Quantitative phase imaging(QPI)is a label-free technique that provides optical path length information for transparent specimens,finding utility in biology,materials science,and engineering.Here,we present QPI of a three-dimensional(3D)stack of phase-only objects using a wavelength-multiplexed diffractive optical processor.Utilizing multiple spatially engineered diffractive layers trained through deep learning,this diffractive processor can transform the phase distributions of multiple two-dimensional objects at various axial positions into intensity patterns,each encoded at a unique wavelength channel.These wavelength-multiplexed patterns are projected onto a single field of view at the output plane of the diffractive processor,enabling the capture of quantitative phase distributions of input objects located at different axial planes using an intensity-only image sensor.Based on numerical simulations,we show that our diffractive processor could simultaneously achieve all-optical QPI across several distinct axial planes at the input by scanning the illumination wavelength.A proof-of-concept experiment with a 3D-fabricated diffractive processor further validates our approach,showcasing successful imaging of two distinct phase objects at different axial positions by scanning the illumination wavelength in the terahertz spectrum.Diffractive network-based multiplane QPI designs can open up new avenues for compact on-chip phase imaging and sensing devices.
关 键 词:quantitative phase imaging three-dimensional imaging label-free imaging diffractive neural networks computational imaging
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