Synchrotron x-ray diffraction dynamic sampling for protein crystal centering

Nicole M. Scarborough, G. M.Dilshan P. Godaliyadda, Dong Hye Ye, David J. Kissick, Shijie Zhang, Justin A. Newman, Michael J. Sheedlo, Azhad Chowdhury, Robert F. Fischetti, Chittaranjan Das, Gregery T. Buzzard, Charles A. Bouman, Garth J. Simpson

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

A supervised learning approach for dynamic sampling (SLADS) was developed to reduce X-ray exposure prior to data collection in protein structure determination. Implementation of this algorithm allowed reduction of the X-ray dose to the central core of the crystal by up to 20-fold compared to current raster scanning approaches. This dose reduction corresponds directly to a reduction on X-ray damage to the protein crystals prior to data collection for structure determination. Implementation at a beamline at Argonne National Laboratory suggests promise for the use of the SLADS approach to aid in the analysis of X-ray labile crystals. The potential benefits match a growing need for improvements in automated approaches for microcrystal positioning.

Original languageEnglish (US)
Pages (from-to)6-9
Number of pages4
JournalIS and T International Symposium on Electronic Imaging Science and Technology
DOIs
StatePublished - 2017
Externally publishedYes
EventComputational Imaging XV 2017 - Burlingame, United States
Duration: Jan 29 2017Feb 2 2017

Bibliographical note

Funding Information:
NMS, SZ, JAN, MJS, AC, CD, and GJS gratefully acknowledge support from the NIH Grant Numbers R01GM-103401 and R01GM-103910 from the NIGMS.

Publisher Copyright:
© 2017, Society for Imaging Science and Technology.

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