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迈向TOMCAT实时断层成像的即时数据后处理

Towards on-the-fly data post-processing for real-time tomographic imaging at TOMCAT.

作者信息

Marone Federica, Studer Alain, Billich Heiner, Sala Leonardo, Stampanoni Marco

机构信息

Swiss Light Source, Paul Scherrer Institute, Villigen, Switzerland.

Information Technology Division, AIT, Paul Scherrer Institute, Villigen, Switzerland.

出版信息

Adv Struct Chem Imaging. 2017;3(1):1. doi: 10.1186/s40679-016-0035-9. Epub 2017 Jan 3.

Abstract

Sub-second full-field tomographic microscopy at third-generation synchrotron sources is a reality, opening up new possibilities for the study of dynamic systems in different fields. Sustained elevated data rates of multiple GB/s in tomographic experiments will become even more common at diffraction-limited storage rings, coming in operation soon. The computational tools necessary for the post-processing of raw tomographic projections have generally not experienced the same efficiency increase as the experimental facilities, hindering optimal exploitation of this new potential. We present here a fast, flexible, and user-friendly post-processing pipeline overcoming this efficiency mismatch and delivering reconstructed tomographic datasets just few seconds after the data have been acquired, enabling fast parameter and image quality evaluation as well as efficient post-processing of TBs of tomographic data. With this new tool, also able to accept a stream of data directly from a detector, few selected tomographic slices are available in less than half a second, providing advanced previewing capabilities paving the way to new concepts for on-the-fly control of dynamic experiments.

摘要

在第三代同步加速器光源上实现亚秒级全场层析显微镜技术已成为现实,为不同领域的动态系统研究开辟了新的可能性。在即将投入运行的衍射极限存储环中,层析成像实验中持续高达数GB/s的高数据速率将变得更加常见。原始层析投影后处理所需的计算工具通常没有像实验设备那样实现同等程度的效率提升,这阻碍了对这一新潜力的最佳利用。我们在此展示了一种快速、灵活且用户友好的后处理流程,它克服了这种效率不匹配的问题,并在数据采集后短短几秒内就能提供重建的层析数据集,从而实现快速的参数和图像质量评估以及对TB级层析数据的高效后处理。借助这个新工具,它还能够直接接收来自探测器的数据流,不到半秒就能获取少数选定的层析切片,提供了先进的预览功能,为动态实验的实时控制新观念铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/712f/5313565/f142879f0ea9/40679_2016_35_Fig1_HTML.jpg

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