Zhao Hongyang, Hui Wangwei, Ye Qing, Huang Kaicheng, Shi Qiushuai, Tian Jianguo, Zhou Wenyuan
Appl Opt. 2022 Feb 20;61(6):1420-1426. doi: 10.1364/AO.448020.
Fourier ptychographic microscopy (FPM) is a recently developed computational imaging technique that can achieve both high-resolution and a wide field-of-view via a sequence of low-resolution images. FPM is a complex iterative process, and it is difficult to meet the needs of rapid reconstruction imaging with the conventional FPM deployed on general purpose processors. In this paper, we propose a high-performance heterogeneous field-programmable gate array (FPGA) architecture based on the principle of full pipeline and the data-flow structure for the iterative reconstruction procedure of FPM. By optimizing the architecture network at gate-level logic circuits, the running time of the FPGA-based FPM reconstruction procedure is nearly 20 times faster than conventional methods. Our proposed architecture can be used to develop FPM imaging equipment that meets resource and performance requirements.
傅里叶叠层显微镜（FPM）是一种最近开发的计算成像技术，它可以通过一系列低分辨率图像实现高分辨率和宽视场。FPM是一个复杂的迭代过程，部署在通用处理器上的传统FPM难以满足快速重建成像的需求。在本文中，我们基于全流水线原理和数据流结构，为FPM的迭代重建过程提出了一种高性能异构现场可编程门阵列（FPGA）架构。通过在门级逻辑电路上优化架构网络，基于FPGA的FPM重建过程的运行时间比传统方法快近20倍。我们提出的架构可用于开发满足资源和性能要求的FPM成像设备。
