Expansion Pattern Analysis
Expansion Pattern Analysis - Related Videos
09:42
Analysis of Thermal Expansion via Dilatometry
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2023
Source: J. Jacob Chavez, Ryan T. Davis, and Taylor D. Sparks, Department of Materials Science and Engineering, The University of Utah, Salt Lake City, UT Thermal expansion is extremely important when considering which materials will be used in systems that experience fluctuations in temperature. A high or low thermal expansion in a material may or may not be desirable, depending on the application. For instance, in a common liquid thermometer, a material with a high thermal expansion would be...
07:16
Finite Element Analysis Model for Assessing Expansion Patterns from Surgically Assisted Rapid Palatal Expansion
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2023
A set of novel finite element models of surgically assisted rapid palatal expansion (SARPE) that could perform a clinically required amount of expander activation with various angles of buccal osteotomy was created for further analysis of the expansion patterns of the hemimaxillae in all three dimensions.
13:51
Cross-Modal Multivariate Pattern Analysis
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Cited by 5 •
2011
Classical multivariate pattern analysis predicts sensory stimuli a subject perceives from neural activity in the corresponding cortices (e.g. visual stimuli from activity in visual cortex). Here, we apply pattern analysis cross-modally and show that sound- and touch-implying visual stimuli can be predicted from activity in auditory and somatosensory cortices, respectively.
11:46
Decoding Auditory Imagery with Multivoxel Pattern Analysis
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California Imagine the sound of a bell ringing. What is happening in the brain when we conjure up a sound like this in the "mind's ear?" There is growing evidence that the brain uses the same mechanisms for imagination that it uses for perception.1 For example, when imagining visual images, the visual cortex becomes activated, and when imagining sounds, the auditory cortex is engaged. However, to what extent are...
13:44
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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Cited by 13 •
2013
We demonstrate methods for the detection of architectural distortion in prior mammograms. Oriented structures are analyzed using Gabor filters and phase portraits to detect sites of radiating tissue patterns. Each site is characterized and classified using measures to represent spiculating patterns. The methods should assist in the detection of breast cancer.
FAQs
The analysis compares measurements collected at successive time points, then tracks changes in boundaries, size, direction, density, and morphology. Growth-rate calculations describe how quickly expansion changes, while spatial pattern analysis shows where those changes occur. Together, these measurements transform visual or dimensional observations into quantitative variables that support comparisons across defined experimental conditions.
Boundary position, overall size, expansion direction, density, and morphology provide complementary information. Size indicates the extent of growth, whereas boundary position and direction reveal how expansion is distributed through space. Density and morphology add information about organization and form. Examining these parameters together can distinguish changes in extent from changes in spatial arrangement or structural appearance.
A growth-rate value summarizes how rapidly a system expands, but it does not fully describe where expansion occurs or how the structure changes shape. Spatial pattern analysis and morphology provide that additional context. Combining these measurements helps identify whether two samples with similar expansion rates differ in organization, direction, density, or overall form under the same comparison framework.
Expansion measurements are most useful when samples are compared under defined conditions, because changes in size, rate, direction, density, or morphology can then be related to the condition being evaluated. In bioengineering, this supports comparisons among culture conditions and design choices. The resulting patterns help determine whether a condition is associated with altered growth behavior or organization.
A typical workflow begins by collecting sequential images or measurements from the biological or engineered system. The investigator then tracks the relevant boundary, quantifies changes in size or growth rate, and evaluates spatial pattern, direction, density, and morphology. Results can be organized for comparison across defined conditions, allowing expansion behavior to be assessed quantitatively rather than only visually.
The same measurement framework can be adapted to different expanding systems, including biological cells, tissues, colonies, and engineered materials. For cell and tissue studies, it can characterize proliferation and organization. For engineered materials and constructs, it can assess spatial behavior and performance. This flexibility makes the approach useful across biological and biomaterial-focused bioengineering investigations.
By measuring changes in expansion, organization, density, and morphology, the approach provides quantitative evidence about how cells, tissues, or engineered constructs behave in relation to scaffold performance and design choices. These data allow investigators to compare constructs or culture conditions using measurable outcomes. The comparisons can guide evaluation and optimization of engineered systems intended for regenerative therapies.
The measurements support decisions about which culture conditions or design choices produce more favorable expansion behavior and organization. They also help assess tissue organization, scaffold performance, and engineered-construct behavior. Because the analysis converts expansion dynamics into comparable parameters, investigators can use the outcomes to evaluate alternatives and improve the assessment or optimization of regenerative therapies and biomaterials.