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Title: FEM: Feature-enhanced map

Journal Article · · Acta Crystallographica. Section D: Biological Crystallography (Online)
 [1];  [1];  [2];  [1];  [3];  [4];  [5];  [6]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  4. Jozef Stefan Inst. (IJS), Ljubljana (Slovenia)
  5. Centre for Integrative Biology, Illkirch (France); Universite de Lorraine, Vandoeuvre les Nancy (France)
  6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California Berkeley, Berkeley, CA (United States)

A method is presented that modifies a 2mFobs - DFmodel σA-weighted map such that the resulting map can strengthen a weak signal, if present, and can reduce model bias and noise. The method consists of first randomizing the starting map and filling in missing reflections using multiple methods. This is followed by restricting the map to regions with convincing density and the application of sharpening. The final map is then created by combining a series of histogram-equalized intermediate maps. In the test cases shown, the maps produced in this way are found to have increased interpretability and decreased model bias compared with the starting 2mFobs - DFmodel σA-weighted map.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE; National Institutes of Health (NIH)
Grant/Contract Number:
AC02-05CH11231; AC52-06NA25396
OSTI ID:
1213460
Alternate ID(s):
OSTI ID: 1321743
Report Number(s):
LA-UR-14-24675; ABCRE6; PII: S1399004714028132
Journal Information:
Acta Crystallographica. Section D: Biological Crystallography (Online), Vol. 71, Issue 3; ISSN 1399-0047
Publisher:
International Union of CrystallographyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 133 works
Citation information provided by
Web of Science

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