Cell Morphology Selection
Cell Morphology Selection - Related Videos
12:27
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Cited by 3 •
2017
This protocol describes large-scale reconstructions of selective neuronal populations, labeled following retrograde infection with a modified rabies virus expressing fluorescent markers, and independent, unbiased cluster analyses that enable comprehensive characterization of morphological metrics among distinct neuronal subclasses.
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.
14:37
Whole-cell Patch-clamp Recordings from Morphologically- and Neurochemically-identified Hippocampal Interneurons
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Cited by 39 •
2014
Cortical networks are controlled by a small, but diverse set of inhibitory interneurons. Functional investigation of interneurons therefore requires targeted recording and rigorous identification. Described here is a combined approach involving whole-cell recordings from single or synaptically-coupled pairs of neurons with intracellular labeling, post-hoc morphological and immunocytochemical analysis.
01:22
T Cell Activation and Clonal Selection
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2024
T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection. Naive T cells that have not yet encountered an antigen express two primary CD...
FAQs
Size, shape, structural organization, and surface characteristics provide observable markers for comparing cells or cell populations. Differences in these features can indicate whether cells fit a selected morphological profile associated with health, differentiation, growth, or a response to treatment. The value comes from linking consistent visual patterns with the cellular condition being investigated.
A treatment may be associated with a change in the appearance of cells or a population. By examining morphology under defined conditions and comparing the observed profile with the desired or expected profile, researchers can identify treatment-related differences. This makes cell appearance useful for assessing how experimental conditions influence cellular state and behavior.
Both approaches support grouping cells according to observed morphology, but they record those observations differently. Visual scoring relies on researchers examining and assigning cells or populations to morphological categories, whereas image-based analysis uses recorded microscopy images for assessment. The selected approach determines how morphological profiles are documented and compared during an experiment.
First, researchers examine cells by microscopy under defined conditions. They then assess features such as size, shape, structural organization, and surface characteristics, using either visual scoring or image-based analysis. Cells or populations are subsequently identified and grouped according to the desired morphological profile. The resulting selection can support evaluation of health, differentiation, growth, or treatment response.
Cell morphology selection is useful when researchers need to characterize phenotypes, monitor cell health or differentiation, evaluate growth, or assess responses to experimental treatments. It also supports quality control, disease research, and drug screening. In each case, morphology provides a practical way to connect what is observed microscopically with the cellular condition under study.
For quality control, researchers can examine whether cells or cell populations match a defined morphological profile under specified conditions. For phenotype characterization, the same observations help describe differences associated with cellular state. These uses are especially valuable in microscopy and cell culture because visible features provide an assessable basis for comparing populations and identifying biologically relevant variation.