Cell Morphology Analysis
Cell Morphology Analysis - Related Videos
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.
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.
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.
09:26
Preparation and Morphological Analysis of Chick Cranial Neural Crest Cell Cultures
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Cited by 3 •
2022
This versatile protocol describes the isolation of premigratory neural crest cells (NCCs) through the excision of cranial neural folds from chick embryos. Upon plating and incubation, migratory NCCs emerge from neural fold explants, allowing for assessment of cell morphology and migration in a simplified 2D environment.
FAQs
Measurements such as area and perimeter quantify size and boundary extent, while aspect ratio describes shape proportions and circularity indicates how closely a cell resembles a circle. Considering them together prevents a single metric from dominating interpretation. A bioengineer can therefore distinguish changes in spreading, overall dimensions, and shape organization when evaluating cells under different experimental conditions.
Substrate properties, mechanical cues, and chemical signals can alter how cells adhere, spread, proliferate, or differentiate. Morphological measurements provide an observable readout of those responses, allowing conditions to be compared rather than considered in isolation. This connection is especially useful when designing biomaterials, because changes in cell appearance can help assess how an engineered environment influences cellular behavior.
Texture and spatial organization extend the analysis beyond individual cell dimensions. Texture can characterize structural patterns within the recorded cell image, while spatial organization describes how cells are arranged relative to one another. These features can reveal responses that area or perimeter alone may not capture, strengthening evaluations of cell interactions with biomaterials or engineered tissues.
A typical workflow begins with microscopy to capture cells, followed by image processing to extract measurable features. Analysts then quantify variables such as area, perimeter, aspect ratio, circularity, and texture, while also considering qualitative structure and spatial organization. Applying the workflow to multiple conditions supports direct comparison of cellular responses to engineered environments.
Because disease-related processes can alter cellular appearance, comparing morphology across relevant conditions can provide a measurable way to examine those changes. Quantitative features, together with qualitative observations, help characterize differences in cell shape, structure, or organization. This makes the analysis relevant to diagnostic tool development, where image-derived patterns may contribute to evaluating cellular state.
In bioengineering, these measurements support the design and assessment of cell-based therapies, diagnostic tools, and tissue-engineered systems. Researchers can evaluate how cells interact with biomaterials or engineered tissues and use the resulting morphological patterns to compare candidate environments. The approach links image-based evidence to decisions about whether an engineered system produces the intended cellular response.