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How to confirm your SAXS data quality

What is it about?

SAXS data can be very subjective and flawed data can generate an interpretable, but false, result. This paper builds on publication guidelines to explain the signals to look for that could indicate problems and how to identify good data from bad.

The following have contributed to this page:

Edward Snell

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