Morphological Analysis
Morphological Analysis - Related Videos
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.
03:54
Preparation of Bacterial Biofilm Colonies for Morphological Analysis
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2026
Source: Bucher, T., et. al., Methodologies for Studying B. subtilis Biofilms as a Model for Characterizing Small Molecule Biofilm Inhibitors. J. Vis. Exp.(2016)This video demonstrates the preparation of mature bacterial biofilm colonies for high-resolution imaging. It covers fixation, dehydration, mounting, and metal coating steps to preserve and visualize biofilm morphology.
11:41
Automated Sholl Analysis of Digitized Neuronal Morphology at Multiple Scales
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Cited by 61 •
2010
We have developed a computer program to analyze neuronal morphology. In combination with two existing open source analysis tools, our program performs Sholl analysis and determines the number of neurites, branch points, and neurite tips. The analyses are performed so that local changes in neurite morphology can be observed.
07:59
The Analysis of Purkinje Cell Dendritic Morphology in Organotypic Slice Cultures
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Cited by 15 •
2012
We present a protocol that permits to view and to quantitatively asses the morphology of the dendritic tree of individual Purkinje cells grown in organotypic cerebellar slice cultures. This protocol is intended to promote studies on the mechanisms of Purkinje cell dendritic development.
06:42
Cerebrovascular Casting of the Adult Mouse for 3D Imaging and Morphological Analysis
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Cited by 29 •
2011
In this article, we present a simple, practical technique for cerebrovascular casting that is easy to perform and can be utilized to image the vascular tree of the adult mouse brain.
FAQs
Morphological analysis links features such as soma shape, dendritic branching, axon organization, and synaptic architecture to the way neurons are organized within neural circuits. Structural differences can help researchers distinguish cell types and examine how anatomy relates to connectivity and activity. This relationship is especially useful when comparing normal organization with developmental or disease-related changes.
The most informative features depend on the biological question, but commonly examined structures include the soma, dendrites, axons, and synapses. Soma shape and dendritic branching can support cell-type classification, while axon organization and synaptic architecture provide information about connectivity. Considering these features together gives a broader view than analyzing a single structural characteristic.
Quantitative measurements make structural comparisons more reproducible across cells, tissues, experimental groups, and developmental or disease conditions. Image-based measurements can document differences in neuronal organization rather than relying only on descriptive observations. This approach strengthens comparisons of cellular and tissue-level morphology and helps relate observed structural changes to neural circuit organization.
A typical workflow combines microscopy, staining, and image-based measurements. Microscopy makes neuronal and tissue structures visible, staining helps reveal the features being examined, and image analysis converts those observations into quantitative structural data. Researchers can then compare soma shape, branching, axon organization, or synaptic architecture across samples and experimental conditions.
It is useful when researchers need to identify structural differences associated with brain development, neurodegeneration, or injury. By comparing neuronal and tissue-level organization across conditions, investigators can evaluate changes in cell types, branching patterns, axon arrangement, or synaptic architecture. These comparisons help characterize how structural organization changes during disease, damage, or maturation.
In neuroscience, structural data provide evidence about how neurons are arranged within circuits and how their anatomical features may relate to connectivity and activity. Examining axon organization and synaptic architecture is particularly relevant for circuit-level questions, while cell-shape analysis can help classify participating neurons. These findings support investigations of circuit organization across development and disease.