纳米测量员:实时数据处理的框架

IF 3.56 Q1 Medicine
Benedikt J. Daurer, Hari Krishnan, Talita Perciano, Filipe R. N. C. Maia, David A. Shapiro, James A. Sethian, Stefano Marchesini
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引用次数: 10

摘要

基于加速器的光源亮度不断提高,使得新的观测和发现具有更快的帧速率、更大的视场、更高的分辨率和更高的维度。在这里,我们提出了一个集成的软件/算法框架,旨在通过高效的内核,负载平衡的工作流程利用高通量实验,这是可扩展的设计。我们描述了平面图数据分析的流线型处理流程。该管道提供了吞吐量,压缩和分辨率,以及显微镜操作员的快速反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Nanosurveyor: a framework for real-time data processing

Nanosurveyor: a framework for real-time data processing

The ever improving brightness of accelerator based sources is enabling novel observations and discoveries with faster frame rates, larger fields of view, higher resolution, and higher dimensionality.

Here we present an integrated software/algorithmic framework designed to capitalize on high-throughput experiments through efficient kernels, load-balanced workflows, which are scalable in design. We describe the streamlined processing pipeline of ptychography data analysis.

The pipeline provides throughput, compression, and resolution as well as rapid feedback to the microscope operators.

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来源期刊
Advanced Structural and Chemical Imaging
Advanced Structural and Chemical Imaging Medicine-Radiology, Nuclear Medicine and Imaging
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