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comstat program on matlab ii software  (MathWorks Inc)


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    MathWorks Inc comstat program on matlab ii software
    Comstat Program On Matlab Ii Software, 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/comstat/pm39756246-126-10-10
    Average 90 stars, based on 1 article reviews
    comstat program on matlab ii software - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Plane wave ultrasound imaging using compressive sensing and minimum variance beamforming.
    Article Snippet: Coherent plane-wave compounding (CPWC) is a widely used technique in medical ultrasound imaging due to its high frame rate property.. It is well-known that increasing the plane waves leads to improving the image quality.. However, the image quality still needs to be further improved in CPWC.

    Article Title: Transcranial volumetric imaging using a conformal ultrasound patch
    Article Snippet: We simulated the diverging and focused ultrasound beams using an open-source Matlab toolbox Field II.

    Article Title: Ultrafast Plane Wave Imaging Using Tensor Completion-Based Minimum Variance Algorithm.
    Article Snippet: 0301-5629/© 2023 World Federation for Ultrasound Objective: Coherent plane wave compounding (CPWC) imaging is an efficient technique in high-frame-rate ultrasound imaging.. To improve the image quality obtained from the CPWC, the adaptive minimum variance (MV) algorithm can be used.. However, the high computational complexity of this algorithm negatively affects the frame rate.

    Article Title: Frame rate improvement in ultrafast coherent plane wave compounding.
    Article Snippet: Coherent plane wave compounding (CPWC), as an ultrafast ultrasound imaging technique, makes a significant breakthrough in frame rate enhancement.. However, there exists a compromise between the quality of the final image and the frame rate in CPWC.. In this paper, we propose an efficient method to minimize the number of required emissions, and consequently, improve the frame rate, while maintaining the image quality.

    Article Title: Transcranial volumetric imaging using a conformal ultrasound patch
    Article Snippet: The simulation was performed using an open-source Matlab toolbox Field II. c , Optical images of the patch on a spherical surface and a cylindrical surface.

    Article Title: An unsupervised learning approach to ultrasound strain elastography with spatio-temporal consistency
    Article Snippet: The ultrasound images were simulated with a centre frequency of 5 MHz by using the publicly available field-II Matlab toolbox.

    Software:

    Article Title: Multifactored accelerated marine corrosion of immersed steels influenced by washed ashore Sargassum rafts.
    Article Snippet: .. Biovolumes (μm3/ μm2) were estimated using the COMSTAT program on MATLAB II software (Heydorn et al., 2000). .. Statistical tests were run to highlight differences between studied conditions (Mann-Whitney test, CI = 95%, Prism-GraphPad).



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    FleQ contributes to biofilm formation in a manner independent of SagS and SagS downstream signaling. ( A ) Representative confocal images of 3-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS . White bar = 100 µm. ( B ) Quantitative of the biofilm biomass and biofilm height by <t>COMSTAT</t> of biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS. * *, ***, significantly different ( P = 0.0001, <0.0001, respectively) relative to PAO1 using ANOVA followed by the Bartlett’s test. Ns, not significant. ( C ) Total cellular c-di-GMP levels in 6-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and ΔsagS, as determined by HPLC quantitative analysis, followed by normalization relative to total cell protein content. *, P < 0.05, relative to PAO1 using ANOVA followed by Dunnett’s T3 multiple comparisons test. ( D ) Representative confocal images of 6-day-old P. aeruginosa Δ fleQ and ΔsagS biofilms and mutant biofilms expressing bfiR and gcbA. gcbA encodes diguanylate cyclase GcbA, bfiR the two-component response regulator BfiR. White bar = 100 µm. All experiments were performed in triplicate. Error bars indicate standard deviations.
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    FleQ contributes to biofilm formation in a manner independent of SagS and SagS downstream signaling. ( A ) Representative confocal images of 3-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS . White bar = 100 µm. ( B ) Quantitative of the biofilm biomass and biofilm height by <t>COMSTAT</t> of biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS. * *, ***, significantly different ( P = 0.0001, <0.0001, respectively) relative to PAO1 using ANOVA followed by the Bartlett’s test. Ns, not significant. ( C ) Total cellular c-di-GMP levels in 6-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and ΔsagS, as determined by HPLC quantitative analysis, followed by normalization relative to total cell protein content. *, P < 0.05, relative to PAO1 using ANOVA followed by Dunnett’s T3 multiple comparisons test. ( D ) Representative confocal images of 6-day-old P. aeruginosa Δ fleQ and ΔsagS biofilms and mutant biofilms expressing bfiR and gcbA. gcbA encodes diguanylate cyclase GcbA, bfiR the two-component response regulator BfiR. White bar = 100 µm. All experiments were performed in triplicate. Error bars indicate standard deviations.
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    FleQ contributes to biofilm formation in a manner independent of SagS and SagS downstream signaling. ( A ) Representative confocal images of 3-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS . White bar = 100 µm. ( B ) Quantitative of the biofilm biomass and biofilm height by <t>COMSTAT</t> of biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS. * *, ***, significantly different ( P = 0.0001, <0.0001, respectively) relative to PAO1 using ANOVA followed by the Bartlett’s test. Ns, not significant. ( C ) Total cellular c-di-GMP levels in 6-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and ΔsagS, as determined by HPLC quantitative analysis, followed by normalization relative to total cell protein content. *, P < 0.05, relative to PAO1 using ANOVA followed by Dunnett’s T3 multiple comparisons test. ( D ) Representative confocal images of 6-day-old P. aeruginosa Δ fleQ and ΔsagS biofilms and mutant biofilms expressing bfiR and gcbA. gcbA encodes diguanylate cyclase GcbA, bfiR the two-component response regulator BfiR. White bar = 100 µm. All experiments were performed in triplicate. Error bars indicate standard deviations.
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    FleQ contributes to biofilm formation in a manner independent of SagS and SagS downstream signaling. ( A ) Representative confocal images of 3-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS . White bar = 100 µm. ( B ) Quantitative of the biofilm biomass and biofilm height by <t>COMSTAT</t> of biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS. * *, ***, significantly different ( P = 0.0001, <0.0001, respectively) relative to PAO1 using ANOVA followed by the Bartlett’s test. Ns, not significant. ( C ) Total cellular c-di-GMP levels in 6-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and ΔsagS, as determined by HPLC quantitative analysis, followed by normalization relative to total cell protein content. *, P < 0.05, relative to PAO1 using ANOVA followed by Dunnett’s T3 multiple comparisons test. ( D ) Representative confocal images of 6-day-old P. aeruginosa Δ fleQ and ΔsagS biofilms and mutant biofilms expressing bfiR and gcbA. gcbA encodes diguanylate cyclase GcbA, bfiR the two-component response regulator BfiR. White bar = 100 µm. All experiments were performed in triplicate. Error bars indicate standard deviations.
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    FleQ contributes to biofilm formation in a manner independent of SagS and SagS downstream signaling. ( A ) Representative confocal images of 3-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS . White bar = 100 µm. ( B ) Quantitative of the biofilm biomass and biofilm height by <t>COMSTAT</t> of biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS. * *, ***, significantly different ( P = 0.0001, <0.0001, respectively) relative to PAO1 using ANOVA followed by the Bartlett’s test. Ns, not significant. ( C ) Total cellular c-di-GMP levels in 6-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and ΔsagS, as determined by HPLC quantitative analysis, followed by normalization relative to total cell protein content. *, P < 0.05, relative to PAO1 using ANOVA followed by Dunnett’s T3 multiple comparisons test. ( D ) Representative confocal images of 6-day-old P. aeruginosa Δ fleQ and ΔsagS biofilms and mutant biofilms expressing bfiR and gcbA. gcbA encodes diguanylate cyclase GcbA, bfiR the two-component response regulator BfiR. White bar = 100 µm. All experiments were performed in triplicate. Error bars indicate standard deviations.
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    FleQ contributes to biofilm formation in a manner independent of SagS and SagS downstream signaling. ( A ) Representative confocal images of 3-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS . White bar = 100 µm. ( B ) Quantitative of the biofilm biomass and biofilm height by <t>COMSTAT</t> of biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS. * *, ***, significantly different ( P = 0.0001, <0.0001, respectively) relative to PAO1 using ANOVA followed by the Bartlett’s test. Ns, not significant. ( C ) Total cellular c-di-GMP levels in 6-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and ΔsagS, as determined by HPLC quantitative analysis, followed by normalization relative to total cell protein content. *, P < 0.05, relative to PAO1 using ANOVA followed by Dunnett’s T3 multiple comparisons test. ( D ) Representative confocal images of 6-day-old P. aeruginosa Δ fleQ and ΔsagS biofilms and mutant biofilms expressing bfiR and gcbA. gcbA encodes diguanylate cyclase GcbA, bfiR the two-component response regulator BfiR. White bar = 100 µm. All experiments were performed in triplicate. Error bars indicate standard deviations.
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    FleQ contributes to biofilm formation in a manner independent of SagS and SagS downstream signaling. ( A ) Representative confocal images of 3-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS . White bar = 100 µm. ( B ) Quantitative of the biofilm biomass and biofilm height by <t>COMSTAT</t> of biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS. * *, ***, significantly different ( P = 0.0001, <0.0001, respectively) relative to PAO1 using ANOVA followed by the Bartlett’s test. Ns, not significant. ( C ) Total cellular c-di-GMP levels in 6-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and ΔsagS, as determined by HPLC quantitative analysis, followed by normalization relative to total cell protein content. *, P < 0.05, relative to PAO1 using ANOVA followed by Dunnett’s T3 multiple comparisons test. ( D ) Representative confocal images of 6-day-old P. aeruginosa Δ fleQ and ΔsagS biofilms and mutant biofilms expressing bfiR and gcbA. gcbA encodes diguanylate cyclase GcbA, bfiR the two-component response regulator BfiR. White bar = 100 µm. All experiments were performed in triplicate. Error bars indicate standard deviations.
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    Image Search Results


    FleQ contributes to biofilm formation in a manner independent of SagS and SagS downstream signaling. ( A ) Representative confocal images of 3-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS . White bar = 100 µm. ( B ) Quantitative of the biofilm biomass and biofilm height by COMSTAT of biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS. * *, ***, significantly different ( P = 0.0001, <0.0001, respectively) relative to PAO1 using ANOVA followed by the Bartlett’s test. Ns, not significant. ( C ) Total cellular c-di-GMP levels in 6-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and ΔsagS, as determined by HPLC quantitative analysis, followed by normalization relative to total cell protein content. *, P < 0.05, relative to PAO1 using ANOVA followed by Dunnett’s T3 multiple comparisons test. ( D ) Representative confocal images of 6-day-old P. aeruginosa Δ fleQ and ΔsagS biofilms and mutant biofilms expressing bfiR and gcbA. gcbA encodes diguanylate cyclase GcbA, bfiR the two-component response regulator BfiR. White bar = 100 µm. All experiments were performed in triplicate. Error bars indicate standard deviations.

    Journal: Journal of Bacteriology

    Article Title: FleQ finetunes the expression of a subset of BrlR-activated genes to enable antibiotic tolerance by Pseudomonas aeruginosa biofilms

    doi: 10.1128/jb.00503-24

    Figure Lengend Snippet: FleQ contributes to biofilm formation in a manner independent of SagS and SagS downstream signaling. ( A ) Representative confocal images of 3-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS . White bar = 100 µm. ( B ) Quantitative of the biofilm biomass and biofilm height by COMSTAT of biofilms formed by P. aeruginosa PAO1, Δ fleQ, and double mutant Δ fleQΔsagS. * *, ***, significantly different ( P = 0.0001, <0.0001, respectively) relative to PAO1 using ANOVA followed by the Bartlett’s test. Ns, not significant. ( C ) Total cellular c-di-GMP levels in 6-day-old biofilms formed by P. aeruginosa PAO1, Δ fleQ, and ΔsagS, as determined by HPLC quantitative analysis, followed by normalization relative to total cell protein content. *, P < 0.05, relative to PAO1 using ANOVA followed by Dunnett’s T3 multiple comparisons test. ( D ) Representative confocal images of 6-day-old P. aeruginosa Δ fleQ and ΔsagS biofilms and mutant biofilms expressing bfiR and gcbA. gcbA encodes diguanylate cyclase GcbA, bfiR the two-component response regulator BfiR. White bar = 100 µm. All experiments were performed in triplicate. Error bars indicate standard deviations.

    Article Snippet: Quantitative analysis of the images was performed using COMSTAT MATLAB package and COMSTAT2 ( , ).

    Techniques: Mutagenesis, Expressing