Evidence map›Paper›PMID 42012743›Full record

ArticleApplied microscopy2026

Mitigation of artifacts in imaging biosamples with optical scanning transmission electron microscopy.

Arent J Kievits, B H Peter Duinkerken, Ryan Lane, Ben N G Giepmans, Jacob P Hoogenboom

Abstract read
In one paragraph

Article in Applied microscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Arent J KievitsDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
B H Peter DuinkerkenDepartment of Biomedical Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Ryan LaneDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Ben N G GiepmansDepartment of Biomedical Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Jacob P HoogenboomDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID http://orcid.org/0000-0003-4539-8772

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek NWO-585 ENPPS.LIFT.019.030Netherland Electron Microscopy Infrastructure, NWO National Roadmap for Large-Scale Research Infrastructure NWO 184.034.01NL-BioImaging AM NWO 184.036.012ZonMw 91111.006
6 · The paper itself

Abstract

Electron microscopy (EM) allows ultrastructural analysis of biological tissues and cells, but images frequently contain artifacts because biological samples have to undergo rigorous preparation to be resistant to vacuum conditions and electron beam exposure. Knowledge about the appearance of image artifacts and how they arise is crucial for their recognition and mitigation and for proper image interpretation. How artifacts appear depends strongly on the electron detection modality and the imaging conditions. Optical scanning transmission EM (OSTEM) is a detection technique compatible with single-beam and multibeam electron microscopes, in which tissue samples are directly deposited on a scintillator for imaging in transmission mode. Here, we identified several types of artifacts that may occur in single-beam and multibeam OSTEM. These artifacts arise or appear as a result of combining established sample preparation protocols with solid scintillator substrates and optical transmission detection. Artifacts can be effectively mitigated or minimized to ultimately enable high quality large-scale 2D and 3D acquisitions.

Indexed as

ArtifactsElectron microscopyLarge-scale electron microscopyOSTEMScintillators

Identifiers

PMID42012743
PMCPMC13100101

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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.