Evidence map›Paper›PMID 38548849›Full record

ArticleCommunications biology2024

A semi-automatic method for extracting mitochondrial cristae characteristics from 3D focused ion beam scanning electron microscopy data.

Chenhao Wang, Leif Østergaard, Stine Hasselholt, Jon Sporring

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 2 institutions in 1 country.

Chenhao WangDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark. chenhao.wang@di.ku.dk.ORCID 0000-0003-3075-1860
Leif ØstergaardDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Stine HasselholtDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0001-5362-6371
Jon SporringDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark. sporring@di.ku.dk.ORCID 0000-0003-1261-6702
Aarhus University · DKUniversity of Copenhagen · DK

Funding

Lundbeckfonden (Lundbeck Foundation) BRAIN COMET, R310-2018-3455
6 · The paper itself

Abstract

Mitochondria are the main suppliers of energy for cells and their bioenergetic function is regulated by mitochondrial dynamics: the constant changes in mitochondria size, shape, and cristae morphology to secure cell homeostasis. Although changes in mitochondrial function are implicated in a wide range of diseases, our understanding is challenged by a lack of reliable ways to extract spatial features from the cristae, the detailed visualization of which requires electron microscopy (EM). Here, we present a semi-automatic method for the segmentation, 3D reconstruction, and shape analysis of mitochondria, cristae, and intracristal spaces based on 2D EM images of the murine hippocampus. We show that our method provides a more accurate characterization of mitochondrial ultrastructure in 3D than common 2D approaches and propose an operational index of mitochondria's internal organization. With an improved consistency of 3D shape analysis and a decrease in the workload needed for large-scale analysis, we speculate that this tool will help increase our understanding of mitochondrial dynamics in health and disease.

Indexed as

Mitochondrial MembranesVolume Electron MicroscopyAnimalsEnergy MetabolismMiceMicroscopy, ElectronMitochondria

Identifiers

PMID38548849
PMCPMC10978844
OpenAlexW4393252908

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.