Evidence map›Paper›PMID 33664336›Full record

ArticleScientific reports2021

Machine learning-based classification of mitochondrial morphology in primary neurons and brain.

Garrett M Fogo, Anthony R Anzell, Kathleen J Maheras, Sarita Raghunayakula, Joseph M Wider, Katlynn J Emaus, Timothy D Bryson, Melissa J Bukowski, Robert W Neumar, Karin Przyklenk and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Cross-species evidence for cardiolipin remodeling in neonatal hypoxic-ischemic encephalopathy.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
  3. Deep learning analysis of urine-derived stem cell mitochondrial morphology as a non-invasive Alzheimer's disease biomarker.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. DRP1, fission and apoptosis.Cell death discovery · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Mitochondrial membrane potential and oxidative stress interact to regulate Oma1-dependent processing of Opa1 and mitochondrial dynamics.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
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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

11 authors.

Garrett M Fogo *Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Anthony R Anzell *Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Kathleen J MaherasDepartment of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Sarita RaghunayakulaDepartment of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Joseph M WiderDepartment of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Katlynn J EmausDepartment of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Timothy D BrysonDepartment of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Melissa J BukowskiDepartment of Physiology, Wayne State University School of Medicine, Detroit, MI, 48201, USA.
Robert W NeumarDepartment of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Karin PrzyklenkDepartment of Physiology, Wayne State University School of Medicine, Detroit, MI, 48201, USA.
Thomas H SandersonDepartment of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA. thsand@umich.edu.

Funding

TRAINING IN MOLECULAR AND CELLULAR CARDIOLOGYT32HL007853 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David J. Pinsky · 1996 to 2026
$11.6M
Non-invasive mitochondrial modulation therapy for ischemic strokeR01NS120322 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HUETTEMANN, MAIK, SANDERSON, THOMAS HUDSON · 2021 to 2025
$2.3M
Infant NeuroLUX: A Novel Non-invasive Therapeutic Device for Neonatal Hypoxic Brain InjuryR42NS105238 · NINDS · MITOVATION, INC. · PI HUETTEMANN, MAIK, SANDERSON, THOMAS HUDSON · 2018 to 2020
$1.8M
Limiting brain reperfusion injury by controlling mitochondrial functionR01NS091242 · NINDS · WAYNE STATE UNIVERSITY · PI HUETTEMANN, MAIK, SANDERSON, THOMAS HUDSON · 2015 to 2018
$1.3M
Investigating mitochondrial dynamics in cerebral ischemia/reperfusion injury using novel morphological analyses and computational modelingF31NS124280 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FOGO, GARRETT MCGUIRE · 2021 to 2021
$38k
NHLBI NIH HHS T32 HL007853NIH HHS R42NS105238NIH HHS T32HL007853NINDS NIH HHS F31 NS124280NINDS NIH HHS R01 NS091242NINDS NIH HHS R01 NS120322NINDS NIH HHS R42 NS105238
6 · The paper itself

Abstract

The mitochondrial network continually undergoes events of fission and fusion. Under physiologic conditions, the network is in equilibrium and is characterized by the presence of both elongated and punctate mitochondria. However, this balanced, homeostatic mitochondrial profile can change morphologic distribution in response to various stressors. Therefore, it is imperative to develop a method that robustly measures mitochondrial morphology with high accuracy. Here, we developed a semi-automated image analysis pipeline for the quantitation of mitochondrial morphology for both in vitro and in vivo applications. The image analysis pipeline was generated and validated utilizing images of primary cortical neurons from transgenic mice, allowing genetic ablation of key components of mitochondrial dynamics. This analysis pipeline was further extended to evaluate mitochondrial morphology in vivo through immunolabeling of brain sections as well as serial block-face scanning electron microscopy. These data demonstrate a highly specific and sensitive method that accurately classifies distinct physiological and pathological mitochondrial morphologies. Furthermore, this workflow employs the use of readily available, free open-source software designed for high throughput image processing, segmentation, and analysis that is customizable to various biological models.

Indexed as

Machine LearningAnimalsBrainHumansImage Processing, Computer-AssistedMiceMicroscopy, Electron, ScanningMitochondriaMitochondrial DynamicsNerve NetNeurons

Identifiers

PMID33664336
PMCPMC7933342

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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.