ArticleNeuro-Signals2014
AxonQuant: A Microfluidic Chamber Culture-Coupled Algorithm That Allows High-Throughput Quantification of Axonal Damage.
Article in Neuro-Signals, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed.
- Closed-loop rehabilitation of upper-limb dyskinesia after stroke: from natural motion to neuronal microfluidics.Journal of neuroengineering and rehabilitation · 2025Review
- Astrocyte-Derived Interleukin 11 Modulates Astrocyte-Microglia Crosstalk via Nuclear Factor-κB Signaling Pathway in Sepsis-Associated Encephalopathy.Research (Washington, D.C.) · 2025Article
- A Microfluidic Cell Co-Culture Chip for the Monitoring of Interactions between Macrophages and Fibroblasts.Biosensors · 2022Article
- Article
- A Microfluidic Culture Platform to Assess Axon Degeneration.Methods in molecular biology (Clifton, N.J.) · 2020Article
- Compartmentalized Microfluidic Platforms: The Unrivaled Breakthrough of In Vitro Tools for Neurobiological Research.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Review
- A new method for quantifying mitochondrial axonal transport.Protein & cell · 2016Article
- Quantitative and semi-quantitative measurements of axonal degeneration in tissue and primary neuron cultures.Journal of neuroscience methods · 2016Article
- An integrated microfluidic device for screening the effective concentration of locally applied tacrolimus for peripheral nerve regeneration.Experimental and therapeutic medicine · 2015Article
- An ALS-mutant TDP-43 neurotoxic peptide adopts an anti-parallel β-structure and induces TDP-43 redistribution.Human molecular genetics · 2014Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Published methods for imaging and quantitatively analyzing morphological changes in neuronal axons have serious limitations because of their small sample sizes, and their time-consuming and nonobjective nature. Here we present an improved microfluidic chamber design suitable for fast and high-throughput imaging of neuronal axons. We developed the AxonQuant algorithm, which is suitable for automatic processing of axonal imaging data. This microfluidic chamber-coupled algorithm allows calculation of an 'axonal continuity index' that quantitatively measures axonal health status in a manner independent of neuronal or axonal density. This method allows quantitative analysis of axonal morphology in an automatic and nonbiased manner. Our method will facilitate large-scale high-throughput screening for genes or therapeutic compounds for neurodegenerative diseases involving axonal damage. When combined with imaging technologies utilizing different gene markers, this method will provide new insights into the mechanistic basis for axon degeneration. Our microfluidic chamber culture-coupled AxonQuant algorithm will be widely useful for studying axonal biology and neurodegenerative disorders.
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Registered trials
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