Evidence map›Paper›PMID 36816131›Full record

ArticleFrontiers in neuroscience2023

Meshed neuronal mitochondrial networks empowered by AI-powered classifiers and immersive VR reconstruction.

Shu-Jiao Li, Hui Liu, Fei-Fei Wu, Da-Yun Feng, Shuai Zhang, Jie Zheng, Lu Wang, Fei Tian, Yan-Ling Yang, Ya-Yun Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. 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
0.5field-weighted citation impact, top 34% 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. Article
  2. Article
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 at 2 institutions in 1 country.

Shu-Jiao LiSpecific Lab for Mitochondrial Plasticity Underlying Nervous System Diseases, National Teaching Demonstration Center, School of Basic Medicine, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Hui LiuSpecific Lab for Mitochondrial Plasticity Underlying Nervous System Diseases, National Teaching Demonstration Center, School of Basic Medicine, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Fei-Fei WuSpecific Lab for Mitochondrial Plasticity Underlying Nervous System Diseases, National Teaching Demonstration Center, School of Basic Medicine, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Da-Yun FengDepartment of Neurosurgery, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Shuai ZhangSpecific Lab for Mitochondrial Plasticity Underlying Nervous System Diseases, National Teaching Demonstration Center, School of Basic Medicine, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Jie ZhengSpecific Lab for Mitochondrial Plasticity Underlying Nervous System Diseases, National Teaching Demonstration Center, School of Basic Medicine, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Lu WangDepartment of Human Anatomy, Histology and Embryology, Medical School of Yan'an University, Yan'an, China.
Fei TianSpecific Lab for Mitochondrial Plasticity Underlying Nervous System Diseases, National Teaching Demonstration Center, School of Basic Medicine, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Yan-Ling YangDepartment of Hepatobiliary Surgery, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Ya-Yun WangSpecific Lab for Mitochondrial Plasticity Underlying Nervous System Diseases, National Teaching Demonstration Center, School of Basic Medicine, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Air Force Medical University · CNYan'an University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial networks are defined as a continuous matrix lumen, but the morphological feature of neuronal mitochondrial networks is not clear due to the lack of suitable analysis techniques. The aim of the present study is to develop a framework to capture and analyze the neuronal mitochondrial networks by using 4-step process composed of 2D and 3D observation, primary and secondary virtual reality (VR) analysis, with the help of artificial intelligence (AI)-powered Aivia segmentation an classifiers. In order to fulfill this purpose, we first generated the PCs-Mito-GFP mice, in which green fluorescence protein (GFP) could be expressed on the outer mitochondrial membrane specifically on the cerebellar Purkinje cells (PCs), thus all mitochondria in the giant neuronal soma, complex dendritic arborization trees and long projection axons of Purkinje cells could be easily detected under a laser scanning confocal microscope. The 4-step process resolved the complicated neuronal mitochondrial networks into discrete neuronal mitochondrial meshes. Second, we measured the two parameters of the neuronal mitochondrial meshes, and the results showed that the surface area (μm

Indexed as

artificial intelligencemeshmitochondrial networksPCs-Mito-GFP micevirtual reality

Identifiers

PMID36816131
PMCPMC9932543
OpenAlexW4319014680

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.