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X射线衍射显微镜的数据准备与评估技术

Data preparation and evaluation techniques for x-ray diffraction microscopy.

作者信息

Steinbrener Jan, Nelson Johanna, Huang Xiaojing, Marchesini Stefano, Shapiro David, Turner Joshua J, Jacobsen Chris

机构信息

Department of Physics & Astronomy, Stony Brook University, Stony Brook, New York 11794, USA.

出版信息

Opt Express. 2010 Aug 30;18(18):18598-614. doi: 10.1364/OE.18.018598.

DOI:10.1364/OE.18.018598
PMID:20940752
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3076089/
Abstract

The post-experiment processing of X-ray Diffraction Microscopy data is often time-consuming and difficult. This is mostly due to the fact that even if a preliminary result has been reconstructed, there is no definitive answer as to whether or not a better result with more consistently retrieved phases can still be obtained. We show here that the first step in data analysis, the assembly of two-dimensional diffraction patterns from a large set of raw diffraction data, is crucial to obtaining reconstructions of highest possible consistency. We have developed software that automates this process and results in consistently accurate diffraction patterns. We have furthermore derived some criteria of validity for a tool commonly used to assess the consistency of reconstructions, the phase retrieval transfer function, and suggest a modified version that has improved utility for judging reconstruction quality.

摘要

X射线衍射显微镜数据的实验后处理通常既耗时又困难。这主要是因为即使已经重建出初步结果,对于是否仍能获得具有更一致检索相位的更好结果,也没有确定的答案。我们在此表明,数据分析的第一步,即从大量原始衍射数据中组装二维衍射图案,对于获得尽可能高一致性的重建至关重要。我们开发了一种软件,可自动执行此过程并生成始终准确的衍射图案。此外,我们还推导了一种常用于评估重建一致性的工具——相位检索传递函数的一些有效性标准,并提出了一个改进版本,该版本在判断重建质量方面具有更高的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/b1fccdca25db/nihms283509f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/f07bcde3556c/nihms283509f8.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/e9c90ab83ab8/nihms283509f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/20aa96e3bc8c/nihms283509f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/8ab986a6c454/nihms283509f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/2e7dc45ce954/nihms283509f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/5fe711db71a9/nihms283509f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/b1fccdca25db/nihms283509f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/f07bcde3556c/nihms283509f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/9540bae5be85/nihms283509f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/e9c90ab83ab8/nihms283509f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/20aa96e3bc8c/nihms283509f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/8ab986a6c454/nihms283509f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/2e7dc45ce954/nihms283509f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/5fe711db71a9/nihms283509f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54b9/3076089/b1fccdca25db/nihms283509f7.jpg

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