Cell Morphology Tracing
Cell Morphology Tracing - Related Videos
00:05
Evaluation of Fertilization State by Tracing Sperm Nuclear Morphology in Arabidopsis Double Fertilization
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Cited by 2 •
2019
We demonstrate a method to determine successful or failed fertilization on the basis of sperm nuclear morphology in Arabidopsis double fertilization using an epifluorescence microscope.
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.
07:48
A Method for Lineage Tracing of Corneal Cells Using Multi-color Fluorescent Reporter Mice
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Cited by 15 •
2015
In this article we describe the principles for designing and performing a multi-color lineage tracing experiment using R26R-Confetti mice. We provide a specific protocol for tracking corneal epithelial cells which can be modified for other tissues of interest.
03:20
Identification of Mouse Retinal Ganglion Cell Subtypes Through Fluorescent Tracing
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2025
Source: Laboissonniere, et. al. Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells. J. Vis. Exp. (2017). This video demonstrates a fluorescent tracing technique to identify retinal ganglion cell (RGC) subtypes in a transgenic mouse retina. The process involves securing the isolated retina in a recording chamber, maintaining cell viability with oxygenated perfusion, and targeting fluorescently labeled RGCs using a pipette with a tracer. By analyzing dendritic morphology and...
07:02
Trace Fear Conditioning in Mice
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Cited by 32 •
2014
In the following experiment we describe a protocol for trace fear conditioning in mice. This type of associative memory includes a trace period that separates the neutral stimulus and the unconditioned stimulus.
FAQs
The analysis depends on identifying visible cellular features and following each cell’s outline or position within microscopy images. These traces support measurements such as cell size, overall form, boundary changes, and spatial arrangement. Because the same types of features can be examined across samples, researchers can compare structural responses between experimental conditions rather than relying only on visual impressions.
Cell boundaries provide the basis for distinguishing one cell’s shape and extent from surrounding structures. Following these boundaries allows researchers to assess changes in size and form, while position tracking adds information about movement or redistribution. In immune and infection studies, these measurements help separate structural changes associated with cellular responses from broader changes in the surrounding sample.
Following outlines or positions across time points links structural measurements to cellular dynamics. Researchers can determine whether a cell changes shape, alters its apparent size, shifts location, or changes its spatial relationship with nearby cells or targets. This temporal perspective is useful for examining migration, adhesion, activation-associated morphology, and interactions that develop during host defense or infection.
Morphological measurements provide quantitative features for comparing immune cells exposed to different experimental conditions. Changes in form, size, movement, or spatial organization may accompany activation, migration, or adhesion. In infection research, tracing can also document how immune cells interact with pathogens or infected cells, helping relate visible structural responses to host-defense processes without relying on morphology alone.
A typical workflow starts by examining microscopy images and identifying the cellular features relevant to the question. Researchers then trace individual cell outlines or positions, record measurements of size, form, and spatial organization, and compare those measurements across samples or time points. The resulting dataset supports structured analysis of cellular responses under defined experimental conditions.
The method can produce measurements describing cell size, shape, boundary changes, position, and spatial relationships. Comparing these outcomes across samples or time points reveals patterns that may indicate altered activation, movement, adhesion, or interactions with pathogens and infected cells. These quantitative observations can improve interpretation of cellular responses and support assessment of disease-related progression.
It is especially useful when the research question concerns how cellular structure changes during host defense or disease progression. Investigators can compare immune-cell morphology under different conditions, follow migration or adhesion, and examine contact with pathogens or infected cells. The measurements provide a microscopy-based layer of evidence that complements interpretation of immune and infection-related cellular behavior.