Axon Morphology Analysis
Axon Morphology Analysis - Related Videos
09:42
Morphological Analysis of Drosophila Larval Peripheral Sensory Neuron Dendrites and Axons Using Genetic Mosaics
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Cited by 16 •
2011
The dendritic arborization sensory neurons of the Drosophila larval peripheral nervous system are useful models to elucidate both general and neuron class-specific mechanisms of neuron differentiation. We present a practical guide to generate and analyze dendritic arborization neuron genetic mosaics.
07:51
Intravital Two-Photon Imaging of Touch Sensory Axon Morphology in Mouse Skin
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2025
This study presents an in vivo two-photon imaging approach for visualizing the structures of low-threshold mechanoreceptor (LTMR) axon terminals in the forepaw skin of mice. Using repeated, high-resolution imaging of individual axons, this method provides a new platform for studying the structure and function of the cutaneous sensory circuit during development and in adults.
10:29
Morphological and Functional Evaluation of Axons and their Synapses during Axon Death in Drosophila melanogaster
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Cited by 15 •
2020
Here, we provide protocols to perform three simple injury-induced axon degeneration (axon death) assays in Drosophila melanogaster to evaluate the morphological and functional preservation of severed axons and their synapses.
13:58
Flat Mount Imaging of Mouse Skin and Its Application to the Analysis of Hair Follicle Patterning and Sensory Axon Morphology
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Cited by 26 •
2014
Mammalian skin contains a diverse array of structures - such as hair follicles and nerve endings - that exhibit distinctive patterns of spatial organization. Analyzing skin as a flat mount takes advantage of the 2-dimensional geometry of this tissue to produce full-thickness high-resolution images of skin structures.
08:29
The Olfactory System as a Model to Study Axonal Growth Patterns and Morphology In Vivo
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Cited by 12 •
2014
We describe a protocol for in vivo labeling of olfactory sensory neurons by electroporation and subsequent confocal laser-scanning or multiphoton microscopy to visualize neuronal morphology and its development over time.
FAQs
Axon length, diameter, branching patterns, and growth-related features provide complementary readouts. Length indicates how far an axon extends, diameter describes its structural caliber, and branching reveals the organization of an axonal arbor. Growth-related measurements help track developmental change, while comparing these metrics under defined conditions can connect altered structure with neuronal development or function.
Branching patterns show how an axon subdivides into an arbor rather than providing only a single length value. Reconstructing the arbor makes it possible to assess structural organization and compare connectivity-related changes between experimental conditions. This approach is useful when genetic, chemical, or environmental perturbations alter neuronal growth or the structural features associated with connectivity.
Manual tracing and image processing provide two approaches for reconstructing axonal arbors from microscopy data. Manual tracing uses researcher-guided reconstruction, whereas image processing supports a more computational route to extracting structural measurements. Both approaches can yield information about length, diameter, branching, and growth-related features, allowing researchers to examine morphology under defined experimental conditions.
A typical workflow begins with microscopy to capture neuronal structures, followed by either manual tracing or image processing to reconstruct the axonal arbor. Researchers then quantify features such as length, diameter, branching patterns, and growth-related changes. Comparing these measurements across defined conditions provides a structured way to evaluate how experimental factors affect axonal structure.
Measurements become most informative when researchers compare axonal structure under defined experimental conditions. Genetic, chemical, and environmental perturbations may produce changes in extension, diameter, branching, or growth-related features. Examining several structural measures together helps characterize the response rather than relying on a single value, supporting analysis of altered neuronal development or function.
This analysis supports studies of neuronal development, disease mechanisms, neurotoxicity, regeneration, and potential therapeutic interventions. Researchers can use structural measurements to assess neurite outgrowth, characterize connectivity-related changes, and evaluate responses to experimental perturbations. In this way, quantitative morphology links observable cellular structure with questions about neuronal behavior and treatment-related effects.