ArticleScientific reports2019
Segmentation, Tracing, and Quantification of Microglial Cells from 3D Image Stacks.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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.
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.
Who cites it
20 citing papers in PubMed.
- Microglia-mediated synaptic pruning in neural circuit remodeling: multidimensional control in homeostasis and neuropathology.BMC medicine · 2026Review
- Clopidogrel Administration Impairs Neurovascular Unit Recovery and Exacerbates Amyloid Beta Accumulation in Aged Mice Post-Stroke.International journal of molecular sciences · 2026Article
- Information flow drives localized morphological differences across neuronal and glial cell types.Frontiers in computational neuroscience · 2026Article
- Sexually dimorphic developmental changes in rat spinal cord pain pathways following neonatal inflammation.Physiological reports · 2025Article
- StainAI: quantitative mapping of stained microglia and insights into brain-wide neuroinflammation and therapeutic effects in cardiac arrest.Communications biology · 2025Article
- Microglia depletion reduces neurodegeneration and remodels extracellular matrix in a mouse Parkinson's disease model triggered by α-synuclein overexpression.NPJ Parkinson's disease · 2025Article
- Neonatal Chlamydia muridarum respiratory infection causes neuroinflammation within the brainstem during the early postnatal period.Journal of neuroinflammation · 2024Article
- Quantifying morphologies of developing neuronal cells using deep learning with imperfect annotations.IBRO neuroscience reports · 2024Article
- Clopidogrel Administration Impairs Post-Stroke Learning and Memory Recovery in Mice.International journal of molecular sciences · 2023Article
- The Pathological Activation of Microglia Is Modulated by Sexually Dimorphic Pathways.International journal of molecular sciences · 2023Review
- Microglial morphometric analysis: so many options, so little consistency.Frontiers in neuroinformatics · 2023Review
- Assaying Microglia Functions In Vitro.Cells · 2022Review
- The Effects of Modified Curcumin Preparations on Glial Morphology in Aging and Neuroinflammation.Neurochemical research · 2022Review
- Apoptosis-associated speck-like protein containing a CARD-mediated release of matrix metalloproteinase 10 stimulates a change in microglia phenotype.Frontiers in molecular neuroscience · 2022Article
- The Shape of μ-How Morphological Analyses Shape the Study of Microglia.Frontiers in cellular neuroscience · 2022Review
- Interactions of neuroimmune signaling and glutamate plasticity in addiction.Journal of neuroinflammation · 2021Review
- Iron loading is a prominent feature of activated microglia in Alzheimer's disease patients.Acta neuropathologica communications · 2021Article
- MitoSegNet: Easy-to-use Deep Learning Segmentation for Analyzing Mitochondrial Morphology.iScience · 2020Article
- An altered glial phenotype in the NL3Scientific reports · 2020Article
- MMP13 Expression Is Increased Following Mutant α-Synuclein Exposure and Promotes Inflammatory Responses in Microglia.Frontiers in neuroscience · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microglia play a central role in modulating synaptic structure and physiology, learning and memory processes. They exhibit morphological changes to perform these roles, therefore the morphological study of microglia can help to understand their functionality. Many promising methods are proposed to automatically segment the blood vessels or reconstruct the neuronal morphology. However, they often fail to accurately capture microglia organizations due to the striking structural differences. This requires a more sophisticated approach of reconstruction taking into account the varying nature of branch structures and soma sizes. To this end, we propose an automated method to reconstruct microglia, and quantify their features from 2D/3D image datasets. We first employ multilevel thresholding to segment soma volumes(3D)/areas(2D) and recognize foreground voxels/pixels. Seed points sampled from the foreground, are connected to form the skeleton of the branches via the tracing process. The reconstructed data is quantified and written in SWC standard file format. We have applied our method to 3D image datasets of microglia, then evaluated the results using ground truth data, and compared them to those achieved via the state-of-the-art methods. Our method outperforms the others both in accuracy and computational time.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.