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staphylococcus epidermidis  (ATCC)


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    Structured Review

    ATCC staphylococcus epidermidis
    Staphylococcus Epidermidis, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 10758 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/staphylococcus+epidermidis+evans/Staphylococcus+epidermidis+(Winslow+and+Winslow)+Evans/pm42243425-110-3-5
    Average 99 stars, based on 10758 article reviews
    staphylococcus epidermidis - by Bioz Stars, 2026-09
    99/100 stars

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    Related Articles

    Activity Assay:

    Article Title: Effects of Ozonation on the Physicochemical Properties and Antimicrobial Activity of Virgin and Pomace Olive Oils
    Article Snippet: ivity of ozonated olive oils. After analyzing the results obtained by Sechi et al. ( 2001 ), we can conclude that sunflower ozonated oil proved to be more appropriate to inhibit the growth of E. coli (ATCC 14990 and 25922) and P. aeruginosa (ATCC 27853) rather than S. aureus (ATCC 29213), whereas our ozonated olive oil had the opposite effect. Since the comparison between both oils (Díaz et al. 200

    Comparison:

    Article Title: Effects of Ozonation on the Physicochemical Properties and Antimicrobial Activity of Virgin and Pomace Olive Oils
    Article Snippet: ivity of ozonated olive oils. After analyzing the results obtained by Sechi et al. ( 2001 ), we can conclude that sunflower ozonated oil proved to be more appropriate to inhibit the growth of E. coli (ATCC 14990 and 25922) and P. aeruginosa (ATCC 27853) rather than S. aureus (ATCC 29213), whereas our ozonated olive oil had the opposite effect. Since the comparison between both oils (Díaz et al. 200

    Bacteria:

    Article Title: Effects of Ozonation on the Physicochemical Properties and Antimicrobial Activity of Virgin and Pomace Olive Oils
    Article Snippet: ivity of ozonated olive oils. After analyzing the results obtained by Sechi et al. ( 2001 ), we can conclude that sunflower ozonated oil proved to be more appropriate to inhibit the growth of E. coli (ATCC 14990 and 25922) and P. aeruginosa (ATCC 27853) rather than S. aureus (ATCC 29213), whereas our ozonated olive oil had the opposite effect. Since the comparison between both oils (Díaz et al. 200

    Synthesized:

    Article Title: Effects of Ozonation on the Physicochemical Properties and Antimicrobial Activity of Virgin and Pomace Olive Oils
    Article Snippet: ivity of ozonated olive oils. After analyzing the results obtained by Sechi et al. ( 2001 ), we can conclude that sunflower ozonated oil proved to be more appropriate to inhibit the growth of E. coli (ATCC 14990 and 25922) and P. aeruginosa (ATCC 27853) rather than S. aureus (ATCC 29213), whereas our ozonated olive oil had the opposite effect. Since the comparison between both oils (Díaz et al. 200

    Membrane:

    Article Title: Effects of Ozonation on the Physicochemical Properties and Antimicrobial Activity of Virgin and Pomace Olive Oils
    Article Snippet: ivity of ozonated olive oils. After analyzing the results obtained by Sechi et al. ( 2001 ), we can conclude that sunflower ozonated oil proved to be more appropriate to inhibit the growth of E. coli (ATCC 14990 and 25922) and P. aeruginosa (ATCC 27853) rather than S. aureus (ATCC 29213), whereas our ozonated olive oil had the opposite effect. Since the comparison between both oils (Díaz et al. 200



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    ATCC s epidermidis atcc
    Phylogenetic tree. Core-genome multilocus sequence typing (cgMLST)-based phylogenetic trees of Staphylococcus aureus (A) and Staphylococcus <t>epidermidis</t> (B) strains from BAHS patients. Trees illustrate allelic distances and clustering of strains based on sequence types (STs), highlighting potential clonal dissemination and associations with biofilm formation, antibiotic resistance profiles, and clinical outcomes (Holgers score >0, pain, debris).
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    97
    ATCC staphylococcus epidermidis atcc 35984
    Estimating variance using Monte Carlo simulation introduced by fundamental experimental elements (Equation (7)) that impact EKMr determination by voltage sweep protocol. ( A ) Distribution of slope (‘ a ’ in y = ax + b ) variance ( s , Equation (7)) over 10,000 iterations, with mean (red) and median (green) lines (value ranges detailed in ). ( B ) Overlaid probability density distributions of onset voltage for three noise levels artificially added to y (100% = experimentally observed values): 10% (green), 50% (blue), and 100% (purple). Nominal onset voltage, as represented by a single dotted line, is the deterministic value calculated directly from the fitted regression line without considering any uncertainties from the slope, the intercept, in the x and y measurements. ( C ) Box plot comparison showing medians, quartiles, and outliers for another visualization of the onset voltage distribution. Dotted black line represents the nominal onset voltage. ( D ) Quantitative comparison of onset voltage values, (i) standard deviation (in V), (ii) mean onset voltage, and (ii) relative standard deviation (RSD, in %) across noise levels. All simulations are anchored by experimental data from S. epidermidis <t>ATCC</t> <t>35984</t> V2L. Raw data and source code can be found in .
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    Image Search Results


    Phylogenetic tree. Core-genome multilocus sequence typing (cgMLST)-based phylogenetic trees of Staphylococcus aureus (A) and Staphylococcus epidermidis (B) strains from BAHS patients. Trees illustrate allelic distances and clustering of strains based on sequence types (STs), highlighting potential clonal dissemination and associations with biofilm formation, antibiotic resistance profiles, and clinical outcomes (Holgers score >0, pain, debris).

    Journal: Biofilm

    Article Title: Staphylococcal persistence and biofilm resistance in bone-anchored hearing systems: Clinical impact

    doi: 10.1016/j.bioflm.2025.100342

    Figure Lengend Snippet: Phylogenetic tree. Core-genome multilocus sequence typing (cgMLST)-based phylogenetic trees of Staphylococcus aureus (A) and Staphylococcus epidermidis (B) strains from BAHS patients. Trees illustrate allelic distances and clustering of strains based on sequence types (STs), highlighting potential clonal dissemination and associations with biofilm formation, antibiotic resistance profiles, and clinical outcomes (Holgers score >0, pain, debris).

    Article Snippet: Reference strains included S. epidermidis ATCC 35984/12228 and S. aureus 15981 wild-type/Δ ica.

    Techniques: Sequencing

    Estimating variance using Monte Carlo simulation introduced by fundamental experimental elements (Equation (7)) that impact EKMr determination by voltage sweep protocol. ( A ) Distribution of slope (‘ a ’ in y = ax + b ) variance ( s , Equation (7)) over 10,000 iterations, with mean (red) and median (green) lines (value ranges detailed in ). ( B ) Overlaid probability density distributions of onset voltage for three noise levels artificially added to y (100% = experimentally observed values): 10% (green), 50% (blue), and 100% (purple). Nominal onset voltage, as represented by a single dotted line, is the deterministic value calculated directly from the fitted regression line without considering any uncertainties from the slope, the intercept, in the x and y measurements. ( C ) Box plot comparison showing medians, quartiles, and outliers for another visualization of the onset voltage distribution. Dotted black line represents the nominal onset voltage. ( D ) Quantitative comparison of onset voltage values, (i) standard deviation (in V), (ii) mean onset voltage, and (ii) relative standard deviation (RSD, in %) across noise levels. All simulations are anchored by experimental data from S. epidermidis ATCC 35984 V2L. Raw data and source code can be found in .

    Journal: Micromachines

    Article Title: Quantifying and Minimizing the Variance of Gradient Insulator-Based Dielectrophoresis

    doi: 10.3390/mi17050600

    Figure Lengend Snippet: Estimating variance using Monte Carlo simulation introduced by fundamental experimental elements (Equation (7)) that impact EKMr determination by voltage sweep protocol. ( A ) Distribution of slope (‘ a ’ in y = ax + b ) variance ( s , Equation (7)) over 10,000 iterations, with mean (red) and median (green) lines (value ranges detailed in ). ( B ) Overlaid probability density distributions of onset voltage for three noise levels artificially added to y (100% = experimentally observed values): 10% (green), 50% (blue), and 100% (purple). Nominal onset voltage, as represented by a single dotted line, is the deterministic value calculated directly from the fitted regression line without considering any uncertainties from the slope, the intercept, in the x and y measurements. ( C ) Box plot comparison showing medians, quartiles, and outliers for another visualization of the onset voltage distribution. Dotted black line represents the nominal onset voltage. ( D ) Quantitative comparison of onset voltage values, (i) standard deviation (in V), (ii) mean onset voltage, and (ii) relative standard deviation (RSD, in %) across noise levels. All simulations are anchored by experimental data from S. epidermidis ATCC 35984 V2L. Raw data and source code can be found in .

    Article Snippet: Using sample data of a spherical bacterial isolate ( Staphylococcus epidermidis ATCC 35984), a distribution of onset voltage was determined.

    Techniques: Comparison, Standard Deviation