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Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092

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Published on: October 2, 2017

On-the-Fly Data Assessment for High-Throughput X-ray Diffraction Measurements.

Fang Ren¹, Ronald Pandolfi², Douglas Van Campen¹

¹Stanford Synchrotron Radiation Lightsource , SLAC National Accelerator Laboratory, Menlo Park, California 94025, United States.

ACS Combinatorial Science

|May 3, 2017

Summary

This summary is machine-generated.

Automated data assessment enhances scientific discovery by enabling real-time analysis of experimental data. This approach optimizes resource use and data quality at national user facilities.

Keywords:

X-ray diffraction attribute extraction data quality assessment high-throughput on-the-fly

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Area of Science:

Materials Science
Data Science
Scientific Instrumentation

Background:

Accelerated data acquisition from advanced instrumentation presents challenges in timely data quality assessment.
Current methods lead to suboptimal data and coverage, necessitating data recollection and inefficient resource use.

Purpose of the Study:

To develop an automated, real-time approach for instantaneous data quality assessment.
To improve the efficiency and impact of scientific data collection and analysis.

Main Methods:

Real-time extraction and visualization of customized data attributes.
Development of an automated system for routine data assessment.

Main Results:

Instantaneous highlighting of data quality, coverage, and scientifically relevant information.
Improved data quality and optimized usage of characterization resources through prioritized measurements.

Conclusions:

Automated, real-time data assessment is crucial for leveraging high-speed data acquisition.
This approach serves as a foundation for sophisticated decision-trees to maximize scientific content and data quality.