Evidence map›Paper›PMID 20502598›Full record

ArticleJournal of applied crystallography2010

Autoindexing with outlier rejection and identification of superimposed lattices.

Nicholas K Sauter, Billy K Poon

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
  2. bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. MXCuBE2: the dawn of MXCuBE Collaboration.Journal of synchrotron radiation · 2019
    Article
  5. Challenge data set for macromolecular multi-microcrystallography.Acta crystallographica. Section D, Structural biology · 2019
    Article
  6. Improving signal strength in serial crystallography with DIALS geometry refinement.Acta crystallographica. Section D, Structural biology · 2018
    Article
  7. Protein crystallization and initial neutron diffraction studies of the photosystem II subunit PsbO.Acta crystallographica. Section F, Structural biology communications · 2017
    Article
  8. Article
  9. Review
  10. Article
  11. Diffraction-geometry refinement in the DIALS framework.Acta crystallographica. Section D, Structural biology · 2016
    Article
  12. New methods for indexing multi-lattice diffraction data.Acta crystallographica. Section D, Biological crystallography · 2014
    Article
  13. Article
  14. Exploiting fast detectors to enter a new dimension in room-temperature crystallography.Acta crystallographica. Section D, Biological crystallography · 2014
    Article
  15. New Python-based methods for data processing.Acta crystallographica. Section D, Biological crystallography · 2013
    Article
  16. Autoindexing diffraction images with iMosflm.Acta crystallographica. Section D, Biological crystallography · 2013
    Article
  17. Outrunning free radicals in room-temperature macromolecular crystallography.Acta crystallographica. Section D, Biological crystallography · 2012
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nicholas K SauterPhysical Biosciences Division, Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA.
Billy K Poon

Funding

LABELIT: Automated Diffraction Analysis for X-ray CrystallographyR01GM077071 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI SAUTER, NICHOLAS K · 2007 to 2009
$1.0M
NIGMS NIH HHS R01 GM077071
6 · The paper itself

Abstract

Constructing a model lattice to fit the observed Bragg diffraction pattern is straightforward for perfect samples, but indexing can be challenging when artifacts are present, such as poorly shaped spots, split crystals giving multiple closely aligned lattices and outright superposition of patterns from aggregated microcrystals. To optimize the lattice model against marginal data, refinement can be performed using a subset of the observations from which the poorly fitting spots have been discarded. Outliers are identified by assuming a Gaussian error distribution for the best-fitting spots and points diverging from this distribution are culled. The set of remaining observations produces a superior lattice model, while the rejected observations can be used to identify a second crystal lattice, if one is present. The prevalence of outliers provides a potentially useful measure of sample quality. The described procedures are implemented for macromolecular crystallography within the autoindexing program labelit.index (http://cci.lbl.gov/labelit).

Identifiers

PMID20502598
PMCPMC2875182

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.