3d Morphology
3d Morphology - Related Videos
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.
07:11
Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography
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Cited by 5 •
2020
Here, we provide a step-by-step acquisition and analysis protocol for the 3D volumetric assessment of the right ventricle, mainly focusing on the practical aspects that maximize the feasibility of this technique.
08:41
Analyzing Dendritic Morphology in Columns and Layers
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2017
Here, we show how to analyze dendritic routing of Drosophila medulla neurons in columns and layers. The workflow includes a dual-view imaging technique to improve the image quality and computational tools for tracing, registering dendritic arbors to the reference column array and for analyzing the dendritic structures in 3D space.
01:29
Microbial Morphologies
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2025
Bacterial and archaeal cells exhibit remarkable diversity in shape and structure, critical in their adaptability and functionality. Among bacteria, the most commonly observed shapes include cocci and bacilli. Cocci are spherical and may exist singly or in groupings such as pairs (diplococci), chains (streptococci), clusters (staphylococci), or tetrads. Bacilli, in contrast, are rod-shaped and can also occur as single cells, in pairs, or chains, depending on their environmental and genetic...
06:21
In Vivo MRI Analysis of Cranial Nerve Morphology in a Patient with Inner Ear Disorder
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2025
Source: Flatz, W. H. et al. In Vivo Morphometric Analysis of Human Cranial Nerves Using Magnetic Resonance Imaging in Menière's Disease Ears and Normal Hearing Ears. J. Vis. Exp. (2018).This video demonstrates the use of MRI to analyze cranial nerve morphology in the ears of patients suffering from a chronic inner ear disorder. It outlines the steps for performing a high magnetic field MRI scan on the patient, reconstructing the high-resolution 3D cross-sectional images of the cranial nerves,...
FAQs
Researchers combine images or measurements collected across multiple planes to construct a three-dimensional representation, allowing features to be evaluated in their spatial relationships rather than as isolated views. This representation supports measurements of volume, surface area, branching, curvature, and cellular or tissue arrangement, making structural comparisons more quantitative.
Volume indicates how much three-dimensional space an object occupies, while surface area describes its exterior extent. Branching characterizes the organization of structures that divide into connected extensions, and curvature captures changes in form along a structure or boundary. Examining these descriptors together gives researchers complementary measurements for distinguishing biological shapes and tracking structural variation.
A two-dimensional analysis describes form within a single plane, whereas three-dimensional analysis integrates information across multiple planes. This broader representation can preserve the spatial arrangement of cells, tissues, and branching structures, helping researchers assess relationships that are difficult to characterize from isolated views. The result is a more complete basis for anatomical and microscopic interpretation.
Researchers can quantify the same structural features in samples representing different biological conditions, then compare measurements such as volume, surface area, curvature, branching, or spatial arrangement. These comparisons can reveal how form changes during development, shifts with physiological state, or differs during disease. The approach therefore links observed structural variation with the condition being studied.
A typical workflow begins by collecting images or measurements across multiple planes. Researchers then combine those data into a three-dimensional representation and characterize selected structural features, such as volume, surface area, branching, curvature, or cellular arrangement. Finally, they compare the resulting measurements across organs, tissues, cells, organisms, or experimental conditions relevant to the study.
The approach supports anatomical modeling, developmental studies, disease characterization, and microscopy analysis. It can also inform the design of biomimetic systems and tissue-engineered structures by providing quantitative descriptions of biological form. These applications use spatial measurements to examine how organs, tissues, cells, or whole organisms are organized and how their structure changes.
Spatial measurements provide a way to relate the organization of an organ, tissue, or cell to its biological role. Features such as branching, curvature, volume, and cellular arrangement describe how form is configured rather than merely how it appears in one view. This structural information can strengthen anatomical models and guide studies of development, physiology, and disease.