Quantitative phase imaging(QPI)through random diffusers using a diffractive optical network  

作　　者：Yuhang Li Yi Luo Deniz Mengu Bijie Bai Aydogan Ozcan 

机构地区：[1]Electrical and Computer Engineering Department,University of California,Los Angeles,California 90095,USA [2]Bioengineering Department,University of California,Los Angeles,California 90095,USA [3]California NanoSystems Institute(CNSI),University of California,Los Angeles,California 90095,USA

出　　处：《Light(Advanced Manufacturing)》2023年第3期206-221,共16页光（先进制造）（英文）

摘　　要：Quantitative phase imaging(QPI)is a label-free computational imaging technique used in various fields,including biology and medical research.Modern QPI systems typically rely on digital processing using iterative algorithms for phase retrieval and image reconstruction.Here,we report a diffractive optical network trained to convert the phase information of input objects positioned behind random diffusers into intensity variations at the output plane,all-optically performing phase recovery and quantitative imaging of phase objects completely hidden by unknown,random phase diffusers.This QPI diffractive network is composed of successive diffractive layers,axially spanning in total~70λ,where is the illumination wavelength;unlike existing digital image reconstruction and phase retrieval methods,it forms an all-optical processor that does not require external power beyond the illumination beam to complete its QPI reconstruction at the speed of light propagation.This all-optical diffractive processor can provide a low-power,high frame rate and compact alternative for quantitative imaging of phase objects through random,unknown diffusers and can operate at different parts of the electromagnetic spectrum for various applications in biomedical imaging and sensing.The presented QPI diffractive designs can be integrated onto the active area of standard CCD/CMOS-based image sensors to convert an existing optical microscope into a diffractive QPI microscope,performing phase recovery and image reconstruction on a chip through light diffraction within passive structured layers.

关 键 词：Quantitative phase imaging Optical neural network Diffractive deep neural network Diffusive media All-optical computing 

分 类 号：O43[机械工程—光学工程]