ArticleScientific reports2018
Quantitative 3-D morphometric analysis of individual dendritic spines.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Curvature-based machine-learning method for automated segmentation of dendritic spines.Biophysical journal · 2026Article
- CURVATURE-BASED MACHINE LEARNING METHOD FOR AUTOMATED SEGMENTATION OF DENDRITIC SPINES.bioRxiv : the preprint server for biology · 2025Article
- 2dSpAn-Auto: an automated tool for analysis of two-dimensional dendritic spine images.BMC bioinformatics · 2025Article
- Article
- Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders.Frontiers in neuroscience · 2024Review
- Astrocytic engagement of the corticostriatal synaptic cleft is disrupted in a mouse model of Huntington's disease.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Current Best Practices for Analysis of Dendritic Spine Morphology and Number in Neurodevelopmental Disorder Research.ACS chemical neuroscience · 2023Review
- Introduction: What Are Dendritic Spines?Advances in neurobiology · 2023Article
- An interactive time series image analysis software for dendritic spines.Scientific reports · 2022Article
- A Deep Learning-Based Workflow for Dendritic Spine Segmentation.Frontiers in neuroanatomy · 2022Article
- Imaging Synaptic Density: The Next Holy Grail of Neuroscience?Frontiers in neuroscience · 2022Review
- Ultrastructural analysis of dendritic spine necks reveals a continuum of spine morphologies.Developmental neurobiology · 2021Article
- Inhibition of colony stimulating factor 1 receptor corrects maternal inflammation-induced microglial and synaptic dysfunction and behavioral abnormalities.Molecular psychiatry · 2021Article
- Quantification of Dendritic Spines Remodeling under Physiological Stimuli and in Pathological Conditions.International journal of molecular sciences · 2021Review
- Sex differences in dendritic spine density and morphology in auditory and visual cortices in adolescence and adulthood.Scientific reports · 2020Article
- Serotonin 5-HTCommunications biology · 2020Article
- Dendritic Spines Shape Analysis-Classification or Clusterization? Perspective.Frontiers in synaptic neuroscience · 2020Article
- OPA1 deficiency accelerates hippocampal synaptic remodelling and age-related deficits in learning and memory.Brain communications · 2020Article
- Cytoarchitecture of the dorsal claustrum of the cat: a quantitative Golgi study.Journal of molecular histology · 2019Article
- Geometric principles of second messenger dynamics in dendritic spines.Scientific reports · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
The observation and analysis of dendritic spines morphological changes poses a major challenge in neuroscience studies. The alterations of their density and/or morphology are indicators of the cellular processes involved in neural plasticity underlying learning and memory, and are symptomatic in neuropsychiatric disorders. Despite ongoing intense investigations in imaging approaches, the relationship between changes in spine morphology and synaptic function is still unknown. The existing quantitative analyses are difficult to perform and require extensive user intervention. Here, we propose a new method for (1) the three-dimensional (3-D) segmentation of dendritic spines using a multi-scale opening approach and (2) define 3-D morphological attributes of individual spines for the effective assessment of their structural plasticity. The method was validated using confocal light microscopy images of dendritic spines from dissociated hippocampal cultures and brain slices (1) to evaluate accuracy relative to manually labeled ground-truth annotations and relative to the state-of-the-art Imaris tool, (2) to analyze reproducibility of user-independence of the segmentation method, and (3) to quantitatively analyze morphological changes in individual spines before and after chemically induced long-term potentiation. The method was monitored and used to precisely describe the morphology of individual spines in real-time using consecutive images of the same dendritic fragment.
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