Evidence map›Paper›PMID 35810393›Full record

ReviewJournal of microscopy2022

How innovations in methodology offer new prospects for volume electron microscopy.

Arent J Kievits, Ryan Lane, Elizabeth C Carroll, Jacob P Hoogenboom

Abstract readReview
In one paragraph

Review in Journal of microscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  3. The Freiburg framework for multimodalFrontiers in synaptic neuroscience · 2026
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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

4 authors.

Arent J KievitsDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0003-4457-9627
Ryan LaneDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0002-5887-2069
Elizabeth C CarrollDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0002-8615-913X
Jacob P HoogenboomDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0003-4539-8772

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detailed knowledge of biological structure has been key in understanding biology at several levels of organisation, from organs to cells and proteins. Volume electron microscopy (volume EM) provides high resolution 3D structural information about tissues on the nanometre scale. However, the throughput rate of conventional electron microscopes has limited the volume size and number of samples that can be imaged. Recent improvements in methodology are currently driving a revolution in volume EM, making possible the structural imaging of whole organs and small organisms. In turn, these recent developments in image acquisition have created or stressed bottlenecks in other parts of the pipeline, like sample preparation, image analysis and data management. While the progress in image analysis is stunning due to the advent of automatic segmentation and server-based annotation tools, several challenges remain. Here we discuss recent trends in volume EM, emerging methods for increasing throughput and implications for sample preparation, image analysis and data management.

Indexed as

Image Processing, Computer-AssistedSpecimen HandlingCryoelectron MicroscopyImaging, Three-DimensionalMicroscopy, ElectronProteinsProteinsdata managementimage analysisimage processingMB-SEMmethodology developmentvolume EM

Identifiers

PMID35810393
PMCPMC9546337

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.