Line Shape Fitting
Line Shape Fitting - Related Videos
09:37
Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
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Cited by 32 •
2015
Scaffolds capable of fitting within cranio-maxillofacial (CMF) bone defects while exhibiting osteoconductivity and bioactivity are of interest. This protocol describes the preparation of a shape memory scaffold based on polycaprolactone diacrylate (PCL-DA) using a solvent-casting particulate-leaching (SCPL) method employing a fused salt template and application of a bioactive polydopamine coating.
09:03
Morphometric Analyses of Shape: The Analysis Software Toolbox for Craniofacial Shape Quantification in Zebrafish
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2026
This work describes a protocol for quantifying craniofacial cartilage shape using free software (tpsDigs2, MorphoJ, and PAST) to measure changes in facial structure in zebrafish larvae.
11:39
A Quantitative Fitness Analysis Workflow
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Cited by 25 •
2012
Quantitative Fitness Analysis (QFA) is a complementary series of experimental and computational methods for estimating microbial culture fitnesses. QFA estimates the effect of genetic mutations, drugs or other applied treatments on microbe growth. Experiments scaling from focussed analysis of single cultures to thousands of parallel cultures can be designed.
00:57
Inclusive Fitness
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2025
Most altruistic behavior—in which one animal helps another at a cost to themselves—occurs between relatives. Scientists think these altruistic behaviors evolved because they increase the inclusive fitness of the animal providing help. Inclusive fitness is an individual’s ability to pass down their genes—both through their offspring and the offspring of close relatives with shared genes. If an animal helps a close relative improve their reproductive success, this increases the animal’s...
01:16
Goodness-of-Fit Test
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2025
The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
FAQs
Peak position can indicate differences in the chemical environment, while intensity helps estimate the relative contribution of a component. Width provides information about signal broadening, and asymmetry captures departures from an ideal symmetric profile. Examining these parameters together gives a more complete interpretation than relying on signal location alone.
The analysis represents an observed profile as the combined contribution of modeled signals, each with its own position, intensity, width, and possibly asymmetry. By adjusting these components together, the calculated spectrum can match features that are not individually resolved in the measurement. This approach helps distinguish components that simple peak measurement may merge.
Instrumental broadening changes the observed width and shape even when the underlying chemical signal has not changed. Molecular environments can also alter spectral features, producing differences in position or profile. Accounting for both effects prevents the fitting process from assigning every variation to concentration or another chemical property, improving interpretation of the measured spectrum.
A researcher first selects a mathematical profile suitable for the measured signal and identifies the features that require modeling. The model then includes relevant components and parameters such as position, intensity, width, and asymmetry. Parameters are adjusted until the calculated profile best matches the observation, after which the fitted values are interpreted chemically or physically.
It becomes especially useful when signals overlap, have nonideal shapes, or are influenced by instrumental broadening. In those situations, a single height or position may not represent one chemical component reliably. Modeling the full profile can provide component estimates and information about interactions, molecular motion, or reaction behavior that simpler measurements may not resolve.
The method can support NMR, electronic, vibrational, and other spectroscopic measurements. Depending on the experiment, fitted profiles may help distinguish components, estimate concentrations, characterize interactions, or investigate molecular motion and reaction behavior. Its value comes from adapting the analysis to detailed signal shapes rather than restricting interpretation to isolated, easily measured peaks.