Cellular Morphology
Cellular Morphology - Related Videos
10:00
An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images
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Cited by 4 •
2012
We developed a software platform that utilizes Imaris Neuroscience, ImarisXT and MATLAB to measure the changes in morphology of an undefined shape taken from three-dimensional confocal fluorescence of single cells. This novel approach can be used to quantify changes in cell shape following receptor activation and therefore represents a possible additional tool for drug discovery.
08:47
Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans
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Cited by 2 •
2019
This study outlines quantitative measurements of synaptic size and localization, muscle morphology, and mitochondrial shape in C. elegans using freely available image processing tools. This approach allows future studies in C. elegans to quantitatively compare the extent of tissue and organelle structural changes as a result of genetic mutations.
14:55
Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence
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Cited by 7 •
2022
The Integrative Toolkit to Analyze Cellular Signals (iTACS) platform automates the process of simultaneously measuring a wide variety of chemical and mechanical signals in adherent cells. iTACS is designed to facilitate community-driven development and enable researchers to use all platform features regardless of their educational background.
11:25
An Introduction to Cellular and Molecular Neuroscience
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2023
Cellular and molecular neuroscience is one of the newest and fastest growing subdisciplines in neuroscience. By investigating the influences of genes, signaling molecules, and cellular morphology, researchers in this field uncover crucial insights into normal brain development and function, as well as the root causes of many pathological conditions. This video introduction to the fascinating world of cellular and molecular neuroscience begins with a timeline of landmark studies, from the...
07:29
A high-throughput method to globally study the organelle morphology in S. cerevisiae
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Cited by 2 •
2009
GFP-fusion proteins are widely used to visualize organelles by confocal microscopy. However, screening for mutations that affect the morphology of organelles generally requires individual mutagenesis and is time consuming. Here, we demonstrate a method to simultaneously incorporate organelle-GFP markers in almost 5,000 non-essential genes in yeast.
FAQs
Shape changes often arise from coordinated activity among the cytoskeleton, plasma membrane, and organelles. This coordination can produce elongation, polarity, adhesion, or movement rather than altering only one visible feature. Examining these patterns helps researchers connect a cell’s appearance with the internal processes that organize its structure and support its interactions with surrounding conditions.
Interactions with neighboring cells or the surrounding matrix help control how cells attach, orient, and arrange themselves in space. These relationships contribute to features such as adhesion, polarity, and tissue-level organization. Consequently, observing individual cells alongside their spatial context can reveal structural changes that would be missed if morphology were assessed without considering cellular surroundings.
These features provide distinct structural clues about cellular behavior. Elongation indicates a change in cell form, polarity reflects organized directionality, adhesion shows attachment to cells or matrix, and movement describes changing position or shape. Assessing them together allows morphology studies to relate visible patterns to cell function, environmental responses, and organization within tissues.
Researchers commonly combine microscopy, image analysis, and staining methods. Microscopy captures the relevant structural patterns, staining helps distinguish or emphasize cellular features, and image analysis supports systematic examination of the resulting observations. This combined approach can identify cell types, compare morphological states, and monitor structural changes across biological conditions.
Staining methods can make cellular structures or distinguishing features easier to examine, while image analysis provides a way to evaluate observed patterns systematically. Together, they strengthen comparisons among cell types or conditions rather than relying only on visual impressions. These tools are particularly useful when tracking differentiation or detecting morphology changes linked to stress or dysfunction.
Cellular morphology is useful for identifying cell types, monitoring differentiation, and detecting changes associated with development, disease, or environmental stress. In broader biological studies, morphological observations also support research on tissue organization, regeneration, and cellular dysfunction. The value comes from linking visible structural patterns with underlying molecular processes and changes in biological state.