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matlab's aoctool function  (MathWorks Inc)


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    MathWorks Inc matlab's aoctool function
    Matlab's Aoctool Function, 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/matlab+aoctool+function/pmc04906025-134-53-69
    Average 90 stars, based on 1 article reviews
    matlab's aoctool function - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Fluorescence:

    Article Title: Rapid on-chip quantification of ammonia nitrogen based on a ‘flow and react’ mechanism
    Article Snippet: Ammonia nitrogen pollution comes from a variety of sources, resulting in a wide distribution of concentrations and forms of existence across different samples.. The on-site rapid detection of ammonia nitrogen in water is of great importance especially in unexpected water pollution accidents.. In this paper, an inexpensive and portable microfluidic chip for the quantitative detection of ammonia nitrogen in water was developed.

    Article Title: Microvascular Mimetics for the Study of Leukocyte–Endothelial Interactions
    Article Snippet: The average fluorescence intensity at the chip surface and 50 μm from the membrane edge was then normalized to the initial intensity ( I x /I o ; where I o is equal to the MATLAB-determined intensity when the working solution of FITC-dextran is added to the basal channel) and plotted over time (Fig. c).

    Article Title: Ego-Dissolution and Psychedelics: Validation of the Ego-Dissolution Inventory (EDI)
    Article Snippet: As ratings of subjective experience intensity are theoretically comparable across drug classes (unlike drug doses) we were able to test the hypothesis that the linear relationship between subjective intensity and ego-dissolution (or ego-inflation) was different between psychedelic, cocaine and alcohol experiences by testing whether the slope of the linear regression line relating subjective intensity (independent variable) to ego-dissolution or ego-inflation (dependent variables) is significantly different between drug classes (using MATLAB’s aoctool [Analysis of covariance (ANCOVA)] function [MATLAB 2015b, Mathworks]).

    Article Title: Musicianship boosts perceptual learning of pseudoword-chimeras: an electrophysiological approach.
    Article Snippet: All pseudowords were matched in intensity (amplitude normalization with the PRAAT software, http://www.fon.hum.uva.nl/praat/); the duration of the auditory stimuli ranged from 900 to 1,000 ms. For each of the auditory stimuli, we produced four different speech-noise chimeras by using the MATLAB software (versionR2010a http://www.mathworks.com).

    Membrane:

    Article Title: Rapid on-chip quantification of ammonia nitrogen based on a ‘flow and react’ mechanism
    Article Snippet: Ammonia nitrogen pollution comes from a variety of sources, resulting in a wide distribution of concentrations and forms of existence across different samples.. The on-site rapid detection of ammonia nitrogen in water is of great importance especially in unexpected water pollution accidents.. In this paper, an inexpensive and portable microfluidic chip for the quantitative detection of ammonia nitrogen in water was developed.

    Article Title: Microvascular Mimetics for the Study of Leukocyte–Endothelial Interactions
    Article Snippet: The average fluorescence intensity at the chip surface and 50 μm from the membrane edge was then normalized to the initial intensity ( I x /I o ; where I o is equal to the MATLAB-determined intensity when the working solution of FITC-dextran is added to the basal channel) and plotted over time (Fig. c).

    Article Title: Ego-Dissolution and Psychedelics: Validation of the Ego-Dissolution Inventory (EDI)
    Article Snippet: As ratings of subjective experience intensity are theoretically comparable across drug classes (unlike drug doses) we were able to test the hypothesis that the linear relationship between subjective intensity and ego-dissolution (or ego-inflation) was different between psychedelic, cocaine and alcohol experiences by testing whether the slope of the linear regression line relating subjective intensity (independent variable) to ego-dissolution or ego-inflation (dependent variables) is significantly different between drug classes (using MATLAB’s aoctool [Analysis of covariance (ANCOVA)] function [MATLAB 2015b, Mathworks]).

    Article Title: Musicianship boosts perceptual learning of pseudoword-chimeras: an electrophysiological approach.
    Article Snippet: All pseudowords were matched in intensity (amplitude normalization with the PRAAT software, http://www.fon.hum.uva.nl/praat/); the duration of the auditory stimuli ranged from 900 to 1,000 ms. For each of the auditory stimuli, we produced four different speech-noise chimeras by using the MATLAB software (versionR2010a http://www.mathworks.com).

    Software:

    Article Title: Rapid on-chip quantification of ammonia nitrogen based on a ‘flow and react’ mechanism
    Article Snippet: Ammonia nitrogen pollution comes from a variety of sources, resulting in a wide distribution of concentrations and forms of existence across different samples.. The on-site rapid detection of ammonia nitrogen in water is of great importance especially in unexpected water pollution accidents.. In this paper, an inexpensive and portable microfluidic chip for the quantitative detection of ammonia nitrogen in water was developed.

    Article Title: Microvascular Mimetics for the Study of Leukocyte–Endothelial Interactions
    Article Snippet: The average fluorescence intensity at the chip surface and 50 μm from the membrane edge was then normalized to the initial intensity ( I x /I o ; where I o is equal to the MATLAB-determined intensity when the working solution of FITC-dextran is added to the basal channel) and plotted over time (Fig. c).

    Article Title: Ego-Dissolution and Psychedelics: Validation of the Ego-Dissolution Inventory (EDI)
    Article Snippet: As ratings of subjective experience intensity are theoretically comparable across drug classes (unlike drug doses) we were able to test the hypothesis that the linear relationship between subjective intensity and ego-dissolution (or ego-inflation) was different between psychedelic, cocaine and alcohol experiences by testing whether the slope of the linear regression line relating subjective intensity (independent variable) to ego-dissolution or ego-inflation (dependent variables) is significantly different between drug classes (using MATLAB’s aoctool [Analysis of covariance (ANCOVA)] function [MATLAB 2015b, Mathworks]).

    Article Title: Musicianship boosts perceptual learning of pseudoword-chimeras: an electrophysiological approach.
    Article Snippet: All pseudowords were matched in intensity (amplitude normalization with the PRAAT software, http://www.fon.hum.uva.nl/praat/); the duration of the auditory stimuli ranged from 900 to 1,000 ms. For each of the auditory stimuli, we produced four different speech-noise chimeras by using the MATLAB software (versionR2010a http://www.mathworks.com).

    Produced:

    Article Title: Rapid on-chip quantification of ammonia nitrogen based on a ‘flow and react’ mechanism
    Article Snippet: Ammonia nitrogen pollution comes from a variety of sources, resulting in a wide distribution of concentrations and forms of existence across different samples.. The on-site rapid detection of ammonia nitrogen in water is of great importance especially in unexpected water pollution accidents.. In this paper, an inexpensive and portable microfluidic chip for the quantitative detection of ammonia nitrogen in water was developed.

    Article Title: Microvascular Mimetics for the Study of Leukocyte–Endothelial Interactions
    Article Snippet: The average fluorescence intensity at the chip surface and 50 μm from the membrane edge was then normalized to the initial intensity ( I x /I o ; where I o is equal to the MATLAB-determined intensity when the working solution of FITC-dextran is added to the basal channel) and plotted over time (Fig. c).

    Article Title: Ego-Dissolution and Psychedelics: Validation of the Ego-Dissolution Inventory (EDI)
    Article Snippet: As ratings of subjective experience intensity are theoretically comparable across drug classes (unlike drug doses) we were able to test the hypothesis that the linear relationship between subjective intensity and ego-dissolution (or ego-inflation) was different between psychedelic, cocaine and alcohol experiences by testing whether the slope of the linear regression line relating subjective intensity (independent variable) to ego-dissolution or ego-inflation (dependent variables) is significantly different between drug classes (using MATLAB’s aoctool [Analysis of covariance (ANCOVA)] function [MATLAB 2015b, Mathworks]).

    Article Title: Musicianship boosts perceptual learning of pseudoword-chimeras: an electrophysiological approach.
    Article Snippet: All pseudowords were matched in intensity (amplitude normalization with the PRAAT software, http://www.fon.hum.uva.nl/praat/); the duration of the auditory stimuli ranged from 900 to 1,000 ms. For each of the auditory stimuli, we produced four different speech-noise chimeras by using the MATLAB software (versionR2010a http://www.mathworks.com).



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    A : 2PEF map of arterioles and venules (top) and of both vessel and GCaMP7f-expressing nNOS neurons (outlined in white, bottom). Vessels analyzed in B are circled in solid red or blue, and neurons are numbered (1,2,3) B : Arterioles, but not venules, dilate in response to whisker puffs, spontaneous whisking or motion (grooming). Representative Ca 2+ transients in neuron 1, 2, and 3 (middle). Overlay of normalized neural ensemble activity and arteriolar diameter changes highlighting the close correspondence between arteriolar and neural responses (bottom). C : Linear relationship between the magnitude of the ensemble activity and arteriolar dilatation in response to whisking or whisking and spontaneous motion. Notice that with whisking+motion the slope of the relationship is significantly greater than with whisking alone (multiple comparison of one-way analysis of <t>covariance</t> models). D : The distribution of correlation coefficients between arteriolar dilatation and nNOS Ca 2+ transients for individual neurons does not differ in the 3 mice studied (p>0.05; nested one-way ANOVA)(top). The strongest correlation is observed between ensemble activity and arteriolar dilatation (bottom). E : Representative arteriolar diameter changes relative to the timing of the peak Ca 2+ activity in individual neuron during 10 consecutive 5 sec whisker air puffs shown in B . Notice that in some neurons peak activity occur earlier than in other neurons. F : Average of ten raster plots in 3 mice showing early and late active nNOS neurons. Shading indicates standard deviation.
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    A : 2PEF map of arterioles and venules (top) and of both vessel and GCaMP7f-expressing nNOS neurons (outlined in white, bottom). Vessels analyzed in B are circled in solid red or blue, and neurons are numbered (1,2,3) B : Arterioles, but not venules, dilate in response to whisker puffs, spontaneous whisking or motion (grooming). Representative Ca 2+ transients in neuron 1, 2, and 3 (middle). Overlay of normalized neural ensemble activity and arteriolar diameter changes highlighting the close correspondence between arteriolar and neural responses (bottom). C : Linear relationship between the magnitude of the ensemble activity and arteriolar dilatation in response to whisking or whisking and spontaneous motion. Notice that with whisking+motion the slope of the relationship is significantly greater than with whisking alone (multiple comparison of one-way analysis of <t>covariance</t> models). D : The distribution of correlation coefficients between arteriolar dilatation and nNOS Ca 2+ transients for individual neurons does not differ in the 3 mice studied (p>0.05; nested one-way ANOVA)(top). The strongest correlation is observed between ensemble activity and arteriolar dilatation (bottom). E : Representative arteriolar diameter changes relative to the timing of the peak Ca 2+ activity in individual neuron during 10 consecutive 5 sec whisker air puffs shown in B . Notice that in some neurons peak activity occur earlier than in other neurons. F : Average of ten raster plots in 3 mice showing early and late active nNOS neurons. Shading indicates standard deviation.
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    A : 2PEF map of arterioles and venules (top) and of both vessel and GCaMP7f-expressing nNOS neurons (outlined in white, bottom). Vessels analyzed in B are circled in solid red or blue, and neurons are numbered (1,2,3) B : Arterioles, but not venules, dilate in response to whisker puffs, spontaneous whisking or motion (grooming). Representative Ca 2+ transients in neuron 1, 2, and 3 (middle). Overlay of normalized neural ensemble activity and arteriolar diameter changes highlighting the close correspondence between arteriolar and neural responses (bottom). C : Linear relationship between the magnitude of the ensemble activity and arteriolar dilatation in response to whisking or whisking and spontaneous motion. Notice that with whisking+motion the slope of the relationship is significantly greater than with whisking alone (multiple comparison of one-way analysis of covariance models). D : The distribution of correlation coefficients between arteriolar dilatation and nNOS Ca 2+ transients for individual neurons does not differ in the 3 mice studied (p>0.05; nested one-way ANOVA)(top). The strongest correlation is observed between ensemble activity and arteriolar dilatation (bottom). E : Representative arteriolar diameter changes relative to the timing of the peak Ca 2+ activity in individual neuron during 10 consecutive 5 sec whisker air puffs shown in B . Notice that in some neurons peak activity occur earlier than in other neurons. F : Average of ten raster plots in 3 mice showing early and late active nNOS neurons. Shading indicates standard deviation.

    Journal: bioRxiv

    Article Title: Calcium transients in nNOS neurons underlie distinct phases of the neurovascular response to barrel cortex activation in awake mice

    doi: 10.1101/2022.10.03.510654

    Figure Lengend Snippet: A : 2PEF map of arterioles and venules (top) and of both vessel and GCaMP7f-expressing nNOS neurons (outlined in white, bottom). Vessels analyzed in B are circled in solid red or blue, and neurons are numbered (1,2,3) B : Arterioles, but not venules, dilate in response to whisker puffs, spontaneous whisking or motion (grooming). Representative Ca 2+ transients in neuron 1, 2, and 3 (middle). Overlay of normalized neural ensemble activity and arteriolar diameter changes highlighting the close correspondence between arteriolar and neural responses (bottom). C : Linear relationship between the magnitude of the ensemble activity and arteriolar dilatation in response to whisking or whisking and spontaneous motion. Notice that with whisking+motion the slope of the relationship is significantly greater than with whisking alone (multiple comparison of one-way analysis of covariance models). D : The distribution of correlation coefficients between arteriolar dilatation and nNOS Ca 2+ transients for individual neurons does not differ in the 3 mice studied (p>0.05; nested one-way ANOVA)(top). The strongest correlation is observed between ensemble activity and arteriolar dilatation (bottom). E : Representative arteriolar diameter changes relative to the timing of the peak Ca 2+ activity in individual neuron during 10 consecutive 5 sec whisker air puffs shown in B . Notice that in some neurons peak activity occur earlier than in other neurons. F : Average of ten raster plots in 3 mice showing early and late active nNOS neurons. Shading indicates standard deviation.

    Article Snippet: To evaluate statistical differences between the linear correlations of two data sets, we generated one-way analysis of covariance models (Matlab function: aoctool) and ran multiple comparison test (Tukey-Kramer) of the group means (Matlab function: multcompare).

    Techniques: Expressing, Whisker Assay, Activity Assay, Comparison, Standard Deviation