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curvefit tool (cftool)  (MathWorks Inc)


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    MathWorks Inc curvefit tool (cftool)
    Curvefit Tool (Cftool), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/curvefit+tool/pmc10759184-180-7-11
    Average 90 stars, based on 1 article reviews
    curvefit tool (cftool) - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Concentration Assay:

    Article Title: Fusion of Mobile In situ and Satellite Remote Sensing Observations of Chemical Release Emissions to Improve Disaster Response
    Article Snippet: .. Inspection of the “clean” transects (γ and ε), i.e., transects that were purely east west without north-south jogs (dictated by road accessibility) used the curvefit tool in MatLab (Mathworks, MA) to fit dual Gaussian functions (Figure 2C) to the anomaly concentration (C′) for each transect. ..

    Incubation:

    Article Title: Magnetic field induced self assembly and optical memory of pi-ring containing fluorophores
    Article Snippet: We report self assembly guided magnetic memory for pi-ring containing fluorophores and alteration in their fluorescence emission.. Tryptophan and pyrene show 10–22% enhancement in fluorescence emission counts after static magnetic field (70–90 mTesla) exposure at 4 C. The incremental change depends on polarization of excitation and emission light beam and also on the magnetic field direction.. Sensitivity of the hydrodynamic profile to static magnetic field (SMF) implies association of spin re-alignment with self assembly.

    other:

    Article Title: Intra-individual variation in the songs of humpback whales suggests they are sonically searching for conspecifics.
    Article Snippet: Distances between ticks along the frequency axis were used to create a function (calculated using Matlab’s curvefit tool) to transform linear image measurements into their corresponding logarithmic frequency values along the y-axis.

    Article Title: Assessment of protein domain fusions in human protein interaction networks prediction: application to the human kinetochore model.
    Article Snippet: In order to understand how biological systems function it is necessary to determine the interactions and associations between proteins.. Some proteins, involved in a common biological process and encoded by separate genes in one organism, can be found fused within a single protein chain in other organisms.. By detecting these triplets, a functional relationship can be established between the unfused proteins.

    Article Title: Uncovering the Molecular Machinery of the Human Spindle—An Integration of Wet and Dry Systems Biology
    Article Snippet: The partial/single Probability Density Functions (PDF) associated with the score distributions, for each method, is calculated using the curvefit tool from MATLAB in order to translate the scores into p-values.

    Article Title: Finding the “Dark Matter” in Human and Yeast Protein Network Prediction and Modelling
    Article Snippet: A score for the cumulative frequency distributions was calculated for each of the four prediction datasets (GECO, hiPPI, CODAcath and CODApfam) using the curvefit tool from MATLAB.

    Modification:

    Article Title: Experimental Design for the Efficient Determination of the Crystallization Kinetics of a Polymorphic System in Combined Cooling and Antisolvent Crystallization
    Article Snippet: In this work, the polymorphic transformation of a dimorphic model compound, ortho-aminobenzoic acid (OABA), is investigated using experimental characterization in combination with population balance modeling.. A novel experimental design is proposed to estimate the crystallization kinetic parameters of the polymorphic system in a combined cooling and antisolvent crystallization (CCAC) process with a minimum number of experiments, which can reduce the resources and time required to obtain kinetic information, which is of great importance in the drug substance development stage.. The modeling studies revealed that the growth rates of the two polymorphs depend on the solvent composition.

    Solubility:

    Article Title: Experimental Design for the Efficient Determination of the Crystallization Kinetics of a Polymorphic System in Combined Cooling and Antisolvent Crystallization
    Article Snippet: In this work, the polymorphic transformation of a dimorphic model compound, ortho-aminobenzoic acid (OABA), is investigated using experimental characterization in combination with population balance modeling.. A novel experimental design is proposed to estimate the crystallization kinetic parameters of the polymorphic system in a combined cooling and antisolvent crystallization (CCAC) process with a minimum number of experiments, which can reduce the resources and time required to obtain kinetic information, which is of great importance in the drug substance development stage.. The modeling studies revealed that the growth rates of the two polymorphs depend on the solvent composition.

    Software:

    Article Title: Experimental Design for the Efficient Determination of the Crystallization Kinetics of a Polymorphic System in Combined Cooling and Antisolvent Crystallization
    Article Snippet: In this work, the polymorphic transformation of a dimorphic model compound, ortho-aminobenzoic acid (OABA), is investigated using experimental characterization in combination with population balance modeling.. A novel experimental design is proposed to estimate the crystallization kinetic parameters of the polymorphic system in a combined cooling and antisolvent crystallization (CCAC) process with a minimum number of experiments, which can reduce the resources and time required to obtain kinetic information, which is of great importance in the drug substance development stage.. The modeling studies revealed that the growth rates of the two polymorphs depend on the solvent composition.



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    (a) Live-cell sf-tPAINT imaging of platelet tension displayed using different time windows (ranging from 50 sec to 1000 sec). The apparent length or width of cellular tension features depends on the number of frames that are integrated to produce a super-resolved image. To demonstrate this point, we rendered the lamellipodial edge of 3 human platelets (from n = 3 independent experiments, 2 platelets shown) and measured the apparent width of the lamellipodial edge tension ring as tPAINT data is integrated over various time windows. Super-resolved tPAINT images were rendered as greyscale images, and ring width was measured via linescan analysis (black dots). The data were fit to a gaussian via Matlab’s <t>curvefitting</t> tool (blue line). The measured FWHM of the fitted gaussians depends on the number of frames integrated to produce the super-resolved tPAINT image. (b) Plot showing that the localization density generally increased with increasing the number of integrated frames. Each color shows a unique ROI. (c) Plot showing the relation between the FWHM of the tension ring and the number of integrated frames. The data shown are from 3 human platelets from n = 3 independent experiments (2 linescans per platelet). In principle, it is desirable to use the minimum number of frames possible to render an image in order to minimize feature blurring due to cellular dynamics during the imaging window; however, image quality decreases, with localizations becoming more punctate, when fewer frames are integrated. To produce high-quality tPAINT images, these considerations must both be balanced. All scale bars are 2 μm.
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    Image Search Results


    (a) Live-cell sf-tPAINT imaging of platelet tension displayed using different time windows (ranging from 50 sec to 1000 sec). The apparent length or width of cellular tension features depends on the number of frames that are integrated to produce a super-resolved image. To demonstrate this point, we rendered the lamellipodial edge of 3 human platelets (from n = 3 independent experiments, 2 platelets shown) and measured the apparent width of the lamellipodial edge tension ring as tPAINT data is integrated over various time windows. Super-resolved tPAINT images were rendered as greyscale images, and ring width was measured via linescan analysis (black dots). The data were fit to a gaussian via Matlab’s curvefitting tool (blue line). The measured FWHM of the fitted gaussians depends on the number of frames integrated to produce the super-resolved tPAINT image. (b) Plot showing that the localization density generally increased with increasing the number of integrated frames. Each color shows a unique ROI. (c) Plot showing the relation between the FWHM of the tension ring and the number of integrated frames. The data shown are from 3 human platelets from n = 3 independent experiments (2 linescans per platelet). In principle, it is desirable to use the minimum number of frames possible to render an image in order to minimize feature blurring due to cellular dynamics during the imaging window; however, image quality decreases, with localizations becoming more punctate, when fewer frames are integrated. To produce high-quality tPAINT images, these considerations must both be balanced. All scale bars are 2 μm.

    Journal: Nature methods

    Article Title: Live-cell super-resolved PAINT imaging of pN cellular traction forces

    doi: 10.1038/s41592-020-0929-2

    Figure Lengend Snippet: (a) Live-cell sf-tPAINT imaging of platelet tension displayed using different time windows (ranging from 50 sec to 1000 sec). The apparent length or width of cellular tension features depends on the number of frames that are integrated to produce a super-resolved image. To demonstrate this point, we rendered the lamellipodial edge of 3 human platelets (from n = 3 independent experiments, 2 platelets shown) and measured the apparent width of the lamellipodial edge tension ring as tPAINT data is integrated over various time windows. Super-resolved tPAINT images were rendered as greyscale images, and ring width was measured via linescan analysis (black dots). The data were fit to a gaussian via Matlab’s curvefitting tool (blue line). The measured FWHM of the fitted gaussians depends on the number of frames integrated to produce the super-resolved tPAINT image. (b) Plot showing that the localization density generally increased with increasing the number of integrated frames. Each color shows a unique ROI. (c) Plot showing the relation between the FWHM of the tension ring and the number of integrated frames. The data shown are from 3 human platelets from n = 3 independent experiments (2 linescans per platelet). In principle, it is desirable to use the minimum number of frames possible to render an image in order to minimize feature blurring due to cellular dynamics during the imaging window; however, image quality decreases, with localizations becoming more punctate, when fewer frames are integrated. To produce high-quality tPAINT images, these considerations must both be balanced. All scale bars are 2 μm.

    Article Snippet: The data were fit to a gaussian via Matlab’s curvefitting tool (blue line).

    Techniques: Imaging