Evidence map›Paper›PMID 39119255›Full record

ArticleMethods in microscopy2024

FAST-EM array tomography: a workflow for multibeam volume electron microscopy.

Arent J Kievits, B H Peter Duinkerken, Ryan Lane, Cecilia de Heus, Daan van Beijeren Bergen En Henegouwen, Tibbe Höppener, Anouk H G Wolters, Nalan Liv, Ben N G Giepmans, Jacob P Hoogenboom

Abstract read
In one paragraph

Article in Methods in microscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

10 authors.

Arent J KievitsDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID https://orcid.org/0000-0003-4457-9627
B H Peter DuinkerkenDepartment of Biomedical Sciences, University Medical Center Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0003-0699-0001
Ryan LaneDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID https://orcid.org/0000-0002-5887-2069
Cecilia de HeusCenter for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0001-8618-8451
Daan van Beijeren Bergen En HenegouwenDepartment of Biomedical Sciences, University Medical Center Groningen, Groningen, The Netherlands.
Tibbe HöppenerDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Anouk H G WoltersDepartment of Biomedical Sciences, University Medical Center Groningen, Groningen, The Netherlands.
Nalan LivCenter for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0003-2654-9117
Ben N G GiepmansDepartment of Biomedical Sciences, University Medical Center Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0001-5105-5915
Jacob P HoogenboomDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID https://orcid.org/0000-0003-4539-8772

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elucidating the 3D nanoscale structure of tissues and cells is essential for understanding the complexity of biological processes. Electron microscopy (EM) offers the resolution needed for reliable interpretation, but the limited throughput of electron microscopes has hindered its ability to effectively image large volumes. We report a workflow for volume EM with FAST-EM, a novel multibeam scanning transmission electron microscope that speeds up acquisition by scanning the sample in parallel with 64 electron beams. FAST-EM makes use of optical detection to separate the signals of the individual beams. The acquisition and 3D reconstruction of ultrastructural data from multiple biological samples is demonstrated. The results show that the workflow is capable of producing large reconstructed volumes with high resolution and contrast to address biological research questions within feasible acquisition time frames.

Indexed as

array tomographyautomatic segmentationFAST-EMimage processingvolume electron microscopy

Identifiers

PMID39119255
PMCPMC11308914

What OpenQuestion holds

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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.