ArticlePloS one2018
An open-source tool for analysis and automatic identification of dendritic spines using machine learning.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 28 citations in OpenAlex.
- Deep learning-assisted mapping of dendritic spines using sequential 2D two-photon calcium imaging.iScience · 2026Article
- Curvature-based machine-learning method for automated segmentation of dendritic spines.Biophysical journal · 2026Article
- Article
- CURVATURE-BASED MACHINE LEARNING METHOD FOR AUTOMATED SEGMENTATION OF DENDRITIC SPINES.bioRxiv : the preprint server for biology · 2025Article
- Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation.Frontiers in neuroinformatics · 2025Review
- Comprehensive software suite for functional analysis and synaptic input mapping of dendritic spines imagedNeurophotonics · 2024Article
- Utilizing 2D-region-based CNNs for automatic dendritic spine detection in 3D live cell imaging.Scientific reports · 2023Article
- Dual Regulation of Spine-Specific and Synapse-to-Nucleus Signaling by PKCδ during Plasticity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Intercellular crosstalk mediated by tunneling nanotubes between central nervous system cells. What we need to advance.Frontiers in physiology · 2023Review
- 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
- NeuriteNet: A convolutional neural network for assessing morphological parameters of neurite growth.Journal of neuroscience methods · 2021Article
- Peering into tunneling nanotubes-The path forward.The EMBO journal · 2021Review
- Quantification of Dendritic Spines Remodeling under Physiological Stimuli and in Pathological Conditions.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Synaptic plasticity, the cellular basis for learning and memory, is mediated by a complex biochemical network of signaling proteins. These proteins are compartmentalized in dendritic spines, the tiny, bulbous, post-synaptic structures found on neuronal dendrites. The ability to screen a high number of molecular targets for their effect on dendritic spine structural plasticity will require a high-throughput imaging system capable of stimulating and monitoring hundreds of dendritic spines in various conditions. For this purpose, we present a program capable of automatically identifying dendritic spines in live, fluorescent tissue. Our software relies on a machine learning approach to minimize any need for parameter tuning from the user. Custom thresholding and binarization functions serve to "clean" fluorescent images, and a neural network is trained using features based on the relative shape of the spine perimeter and its corresponding dendritic backbone. Our algorithm is rapid, flexible, has over 90% accuracy in spine detection, and bundled with our user-friendly, open-source, MATLAB-based software package for spine analysis.
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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.