智能光子计数单像素显微成像系统  

Intelligent Photon Counting Single Pixel Micro-Imaging System

作　　者：蔡源鹏 鄢秋荣[1] 杨耀铭 熊乙宁 郑勇健 Cai Yuanpeng;Yan Qiurong;Yang Yaoming;Xiong Yining;Zheng Yongjian(School of Information Engineering,Nanchang University,Nanchang 330031,Jiangxi,China)

机构地区：[1]南昌大学信息工程学院,江西南昌330031

出　　处：《激光与光电子学进展》2022年第24期128-135,共8页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(61865010,62165009);江西省杰出青年人才资助计划(20171BCB23007)。

摘　　要：设计并验证了一套智能光子计数单像素显微成像系统。物品经显微物镜成像在数字微镜(DMD)上,加载一系列掩模到DMD上对像进行调制,调制后的光强由无空间分辨的单光子探测器进行探测,然后利用深度学习网络重建图像。利用Zynq平台的可编程逻辑端精确的多路时序控制性能实现DMD偏转和光子计数,同时利用平台内嵌的Arm处理器实时部署深度学习重建网络,实现DMD偏转控制、光子计数和网络重建功能的集成软硬件协同工作,具有集成度高、轻便和成本低的优势。实验结果表明:Zynq上实现DFC-Net的图像重建质量在低采样率下优于经典的TVAL3重建算法;增加测量次数可获得高质量的重建图像,但应确保每次测量的时间足以抑制泊松散粒噪声。This paper proposes and verifies an intelligent photon counting single pixel micro-imaging system.An object is imaged in a digital micromirror device(DMD)under a microscope.After a series of masks are loaded to the DMD for light modulation,modulated light intensity is detected by a space-distinguished single photon detector,and the original image is reconstructed using a deep learning network.The DMD flip and photon counting are implemented based on the exact multichannel timing control performance of a programmable logic device.Simultaneously,an embedded Arm processor deploys deep learning rebuild networks in real time.Finally,DMD deflection control,photon counting,and a neural network reconstruction function are integrated in a software and hardware collaborative platform to take advantage of the platform’s high integration,lightweight and low cost.Experimental results show that the image reconstruction quality of DFC-Net on Zynq is superior to that of the classic TVAL3 reconstruction algorithm at low sampling rates.Although increasing the number of measurements can obtain high quality reconstruction images,each measurement time should be sufficient to inhibit Poisson sculpture noise.

关 键 词：单像素成像 光子计数 压缩感知 深度学习 

分 类 号：O438[机械工程—光学工程]