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Handling sample heterogeneity in serial crystallography

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Teaching Materials

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Abstract

 

Oliver Zeldin (Stanford)

 

Serial crystallography data is made up of images obtained from a population of slightly in-homogenous crystals. We will discuss clustering and filtering approaches to (1) characterizing sample heterogeneity in unmerged data, and (2) identifying optimal sub-sets of images for merging and post-refinement.

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