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用于傅里叶叠层显微镜的高性能异构FPGA数据流架构。

High-performance heterogeneous FPGA data-flow architecture for Fourier ptychographic microscopy.

作者信息

Zhao Hongyang, Hui Wangwei, Ye Qing, Huang Kaicheng, Shi Qiushuai, Tian Jianguo, Zhou Wenyuan

出版信息

Appl Opt. 2022 Feb 20;61(6):1420-1426. doi: 10.1364/AO.448020.

Abstract

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.

摘要

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。

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