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image processing application comstat  (MathWorks Inc)


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    MathWorks Inc image processing application comstat
    Image Processing Application Comstat, 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/pm38573532-110-6-13
    Average 90 stars, based on 1 article reviews
    image processing application comstat - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Utilizing a Fe 3 O 4 Magnetite Nanoparticle for Anode Modification in a Microbial Desalination Cell to Treat Saltwater.
    Article Snippet: The microbial desalination cell (MDC) is a bio-electrochemical system that exhibits the ability to oxidize organic compounds, produce energy, and decrease the saline concentrations within the desalination chamber.. The selective removal of ions from the desalination chamber is significantly influenced by the anion and cation exchange membranes.. In this study, a three-chamber microbial desalination cell was developed to treat seawater using a synthesize Fe3O4 magnetite nanoparticle (MNP)-modified anode.

    Article Title: Structural and mechanical implications of PMMA implant shape and interface geometry in cranioplasty--A finite element study.
    Article Snippet: This computational study investigates the effect of shape (defect contour curvature) and bone-implant interface (osteotomy angle) on the stress distribution within PMMA skull implants.. Using finite element methodology, 15 configurations e combinations of simplified synthetic geometric shapes (circular, square, triangular, irregular) and interface angulations e were simulated under 50N static loads.. Furthermore, the implant fixation devices were modelled and analysed in detail.

    Article Title: Automated imaging with ScanLag reveals previously undetectable bacterial growth phenotypes.
    Article Snippet: nature methods | VOL.7 NO.9 | SEPTEMBER 2010 | 737 namely the fraction of bacteria that exit the lag phase long after the majority of the population has started growing, cannot be measured.. Our goal was to develop an automated method that enables the tail of the lag time and growth rate distributions to be assessed, even for the small fraction of bacteria with very long lag times.. Our method is based on automated measurement of the time it takes for colonies on conventional nutrient agar plates to be detectable, as measured manually in reference 4.

    Software:

    Article Title: Comprehensive experimental and numerical investigation of a microrod-based active micromixer driven by the magnetic stirring mechanism
    Article Snippet: Background: The mixing process at the microscale is a complex challenge in microfluidic science, where implementing micromixers can facilitate effective mixing on lab-on-a-chip systems.. Despite the advances, low mixing index, long mixing channel length, and lack of mixing controllability are still challenging in micromixers.. Methods: The mixing efficiency of two distinct micromixers with different mixing zones, where a microrod is actuated by a magnetic field generated by a laboratory magnetic stirrer, was investigated numerically and experimentally.



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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