Axon Dendrite Measurement
Axon Dendrite Measurement - Related Videos
12:51
Voltage-sensitive Dye Recording from Axons, Dendrites and Dendritic Spines of Individual Neurons in Brain Slices
0 Views •
Cited by 13 •
2012
An imaging technique for monitoring of membrane potential changes with sub-micrometer spatial and sub-millisecond temporal resolution is described. The technique, based on laser excitation of voltage-sensitive dyes, allows measurements of signals in axons and axon collaterals, terminal dendritic branches, and individual dendritic spines.
09:42
Morphological Analysis of Drosophila Larval Peripheral Sensory Neuron Dendrites and Axons Using Genetic Mosaics
0 Views •
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.
09:31
Measurement of Tension Release During Laser Induced Axon Lesion to Evaluate Axonal Adhesion to the Substrate at Piconewton and Millisecond Resolution
0 Views •
Cited by 1 •
2013
We measured the tension release in an axon that was partially lesioned with a laser dissector by simultaneous force spectroscopy measurement performed on an optically-trapped probe adhered to the membrane of the axon. The developed experimental protocol evaluates the axon adhesion to the culture substrate.
08:41
Analyzing Dendritic Morphology in Columns and Layers
0 Views •
2017
Here, we show how to analyze dendritic routing of Drosophila medulla neurons in columns and layers. The workflow includes a dual-view imaging technique to improve the image quality and computational tools for tracing, registering dendritic arbors to the reference column array and for analyzing the dendritic structures in 3D space.
04:56
In Vivo Electrophysiological Measurement of the Rat Ulnar Nerve with Axonal Excitability Testing
0 Views •
Cited by 3 •
2018
Axonal excitability techniques provide a powerful tool to examine pathophysiology and biophysical changes that precede irreversible degenerative events. This manuscript demonstrates the use of these techniques on the ulnar nerve of anesthetized rats.
FAQs
Fluorescent labeling and immunostaining provide the visible signal needed to examine neuronal processes in microscopy images. These approaches make structural features accessible to image analysis rather than relying only on qualitative inspection. The resulting images support tracing and numerical assessment of axons and dendrites across experimental models.
Each metric captures a different structural property. Length describes process extent, diameter reflects caliber, branch points indicate the complexity of neurite architecture, and dendritic spine density reports a more localized feature of dendrites. Considering these measures together gives a broader account of neuronal structural changes than any single measurement alone.
Process dimensions and branching patterns provide quantitative evidence about how neuronal structures are organized in space. Changes in these features can be evaluated in relation to connectivity and circuit organization, while spine density adds information about dendritic structure. Together, the measurements help link cellular morphology with broader changes in neuronal architecture and function.
A typical workflow begins by fluorescently labeling or immunostaining neuronal processes, followed by imaging with light or confocal microscopy. Researchers then analyze the images by tracing neurites and calculating selected features, such as length, diameter, branch points, or dendritic spine density. This sequence converts visual observations into quantitative structural data.
Image analysis uses traced neurites to identify structural features within the recorded neuronal processes. Branch points can be counted to characterize arbor complexity, while dendritic spine density can be calculated from the dendritic structures visible in the images. These outputs allow experimental groups or conditions to be compared using defined morphological measurements.
The approach is useful for examining neuronal development, connectivity, and structural responses to injury, disease, or experimental treatments. Researchers can compare quantitative changes in process organization and morphology across models or conditions. Such results provide structural evidence for altered circuit organization and help evaluate how experimental conditions affect neuronal architecture.