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通过CPU-GPU-FPGA异质计算的基于色度测量摄像头的单分子定位显微镜实时数据处理.

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  • 1State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya 572025, China.

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概括
此摘要是机器生成的。

一种新方法,HCC-STORM,通过使用异质计算平台加速多色单分子局部化显微镜 (SMLM). 这一进步使基于色度测量摄像机的SMLM (CC-STORM) 的图像处理速度提高了三倍,而不会造成性能损失.

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科学领域:

  • 生物物理学的生物物理.
  • 显微镜的使用方法
  • 计算成像技术的成像

背景情况:

  • 单分子定位显微镜 (SMLM) 中常规的低光照相机缺乏颜色区分,需要复杂的设置来进行多色成像.
  • 测色摄像机为多色SMLM提供了更简单的替代方案,但由于像素的广泛穿越,图像提取 (CC-STORM) 耗时.

研究的目的:

  • 开发一种使用色度测量摄像头进行多色SMLM的加速方法.
  • 为了提高速度,将数据处理任务集成到异构的计算平台中.

主要方法:

  • 开发了HCC-STORM,将CC-STORM数据处理集成到一个CPU-GPU-FPGA异质计算平台上.
  • 利用FPGA并行和管道来实现高效的数据处理.
  • 为C/C++,Python,Java和Matlab提供了接口,以简化算法部署.

主要成果:

  • 与CC-STORM相比,HCC-STORM实现了执行速度的三倍增长,而不会影响性能.
  • 实时数据处理为1024x1024像素图像启用,曝光时间为30毫秒.
  • 每个原始图像的总数据处理时间减少到26.9 ms.

结论:

  • HCC-STORM显著提高了基于色度测量摄像机的SMLM的效率.
  • 开发的异质计算平台加速了SMLM中的计算密集型任务.
  • 这项工作推动了CC-STORM的发展,并为苛刻的计算成像应用提供了一个强大的平台.