Spine Density Measurement
Spine Density Measurement - Related Videos
09:50
Measuring the Densities of Aqueous Glasses at Cryogenic Temperatures
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Cited by 4 •
2017
A protocol for determining the vitreous phase densities of micro- to pico-liter size drops of aqueous mixtures at cryogenic temperatures is described.
11:48
Analysis of Dendritic Spine Morphology in Cultured CNS Neurons
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Cited by 69 •
2011
Numerous recent studies have identified mutations in synaptic proteins associated with brain pathologies. Primary cultured cortical neurons offer great flexibility in examining the effects of these disease-associated proteins on dendritic spine morphology and motility.
02:49
Harvesting DRG from Rat Spine: A Procedure to Extract Dorsal Root Ganglion from the Spine of a Rat Model
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2023
In this video, we demonstrate the extraction of dorsal root ganglion or DRG from a harvested rat spine for downstream applications.
05:25
Quantification of Dendritic Spines Using Confocal Microscopy Imaging
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2025
Source: Gouder, et. al. Three-dimensional Quantification of Dendritic Spines from Pyramidal Neurons Derived from Human Induced Pluripotent Stem Cells. J. Vis. Exp. (2015).This video demonstrates the imaging and analysis of dendritic spines in transduced, immunolabeled pyramidal neurons using confocal microscopy. Background noise is reduced, and dendrites are traced by estimating their diameter and length. Automated spine segmentation involves setting parameters for dendrite and spine dimensions...
05:28
A Mouse Model of Lumbar Spine Instability
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Cited by 14 •
2021
We developed a lumbar intervertebral disc degeneration mouse model by resection of L3–L5 spinous processes along with supra- and inter-spinous ligaments and detachment of paraspinous muscles.
FAQs
Counts are expressed relative to dendrite length so that segments of different sizes can be compared. A raw spine total would change simply because one segment is longer than another, whereas a normalized value describes how densely spines are distributed. This makes spine density measurement useful for comparing developmental stages, brain regions, genetic backgrounds, or experimental conditions.
Fluorescent labeling makes neurons and their dendritic segments visible for analysis. Light or confocal microscopy then provides images in which protruding structures can be recognized by morphology. The measurement combines a visible neuronal label, an image of a defined dendritic segment, and consistent identification of spine-like protrusions before researchers calculate density.
In developmental biology, differences in measured density can be interpreted in relation to synapse formation, maturation, and remodeling. Comparing values across developmental stages helps reveal when structural changes occur, while comparisons among brain regions or genetic backgrounds can show whether those changes vary with anatomical or biological context. The result connects dendritic structure with neural circuit development.
Changes in density across experimental conditions provide a structural readout of altered neuronal connectivity. When measurements are also compared across disease-related phenotypes, they can help identify associations between dendritic architecture and developmental or disease-related states. The method supports quantitative comparisons that relate spine organization to broader changes in neural circuits.
A basic workflow begins by labeling neurons with fluorescent markers, followed by imaging selected dendritic segments with light or confocal microscopy. Researchers identify protrusions by their morphology, count them along a defined dendrite length, and report the result as spines per unit length. Defining the analyzed segment and reporting format allows measurements to be compared across samples.
Spine density measurement provides a quantitative bridge between cellular structure and neural-circuit development. A higher or lower value, interpreted through comparisons among stages, regions, genetic backgrounds, or conditions, indicates that dendritic organization differs in those contexts. These patterns help researchers examine how synapse-related structural changes accompany developing or disease-related neural phenotypes.