Evidence map›Paper›PMID 30185054›Full record

ArticleBiointerphases2018

Dealing with image shifting in 3D ToF-SIMS depth profiles.

Daniel J Graham, Lara J Gamble

Abstract read
In one paragraph

Article in Biointerphases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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.

Daniel J GrahamNESAC/BIO, Department of Bioengineering, University of Washington, Seattle, Washington 98195.
Lara J GambleNESAC/BIO, Department of Bioengineering, University of Washington, Seattle, Washington 98195.

Funding

Surface Analysis Facility for Biomedical ProblemsP41EB002027 · NIBIB · UNIVERSITY OF WASHINGTON · PI CASTNER, DAVID G · 2003 to 2019
$17.6M
NIBIB NIH HHS P41 EB002027
6 · The paper itself

Abstract

The high sputter efficiency and low damage of gas cluster ion beams have enabled depth profiling to greater depths within organic samples using time-of-flight secondary ion mass spectrometry (ToF-SIMS). Due to the typically fixed geometry of the ion sources used in ToF-SIMS, as one digs into a surface, the position sampled by ion beams shifts laterally. This causes a lateral shift in the resulting images that can become quite significant when profiling down more than one micron. Here, three methods to compensate for this image shifting are presented in order to more accurately stack the images to present a 3D representation. These methods include (1) using software to correct the image shifts post-acquisition, (2) correcting the sample height during acquisition, and (3) adjusting the beam position during acquisition. The advantages and disadvantages of these methods are discussed. It was found that all three methods were successful in compensating for image shifting in ToF-SIMS depth profiles resulting in a more accurate display of the 3D data. Features from spherical objects that were ellipsoidal prior to shifting were seen to be spherical after correction. Software shifting is convenient as it can be applied after data acquisition. However, when using software shifting, one must take into account the scan size and the size of the features of interest as image shifts can be significant and can result in cropping of features of interest. For depth profiles deeper than a few microns, hardware methods should be used as they preserve features of interest within the field of view regardless of the profile depth. Software shifting can also be used to correct for small shifts not accounted for by hardware methods. A combination of hardware and software shift correction can enable correction for a wide range of samples and profiling depths. The scripts required for the software shifting demonstrated herein are provided along with tutorials in the supplementary material.

Identifiers

PMID30185054
PMCPMC6125139

What OpenQuestion holds

Textmetadata
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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.