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Using textons to rank crystallization droplets by the likely presence of crystals

Abstract:

The visual inspection of crystallization experiments is an important yet time-consuming and subjective step in X-ray crystallography. Previously published studies have focused on automatically classifying crystallization droplets into distinct but ultimately arbitrary experiment outcomes; here, a method is described that instead ranks droplets by their likelihood of containing crystals or microcrystals, thereby prioritizing for visual inspection those images that are most likely to contain us...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Structural Genomics Consortium
Role:
Author
Publisher:
International Union of Crystallography
Journal:
Acta Crystallographica. Section D, Biological Crystallography More from this journal
Volume:
70
Issue:
Pt 10
Pages:
2702-2718
Publication date:
2014-10-01
DOI:
EISSN:
1399-0047
ISSN:
0907-4449
Language:
English
Keywords:
Pubs id:
pubs:487228
UUID:
uuid:f9287357-c51f-42a7-be37-7e7fc65ee4a8
Local pid:
pubs:487228
Source identifiers:
487228
Deposit date:
2014-10-29

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