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origin software v2019b  (OriginLab corp)


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    Structured Review

    OriginLab corp origin software v2019b
    Origin Software V2019b, supplied by OriginLab corp, 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/result/origin software v2019b/product/OriginLab corp
    Average 90 stars, based on 1 article reviews
    origin software v2019b - by Bioz Stars, 2026-06
    90/100 stars

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    90
    OriginLab corp origin software v2019b
    Origin Software V2019b, supplied by OriginLab corp, 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/result/origin software v2019b/product/OriginLab corp
    Average 90 stars, based on 1 article reviews
    origin software v2019b - by Bioz Stars, 2026-06
    90/100 stars
      Buy from Supplier

    90
    OriginLab corp software origin v2019b
    Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab (v18); linear fit performed using Origin <t>(v2019b).</t>
    Software Origin V2019b, supplied by OriginLab corp, 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/result/software origin v2019b/product/OriginLab corp
    Average 90 stars, based on 1 article reviews
    software origin v2019b - by Bioz Stars, 2026-06
    90/100 stars
      Buy from Supplier

    90
    OriginLab corp software origin pro v2019b
    Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab (v18); linear fit performed using Origin <t>(v2019b).</t>
    Software Origin Pro V2019b, supplied by OriginLab corp, 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/result/software origin pro v2019b/product/OriginLab corp
    Average 90 stars, based on 1 article reviews
    software origin pro v2019b - by Bioz Stars, 2026-06
    90/100 stars
      Buy from Supplier

    90
    OriginLab corp origin v2019b software
    Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab (v18); linear fit performed using Origin <t>(v2019b).</t>
    Origin V2019b Software, supplied by OriginLab corp, 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/result/origin v2019b software/product/OriginLab corp
    Average 90 stars, based on 1 article reviews
    origin v2019b software - by Bioz Stars, 2026-06
    90/100 stars
      Buy from Supplier

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    Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab (v18); linear fit performed using Origin (v2019b).

    Journal: Pathogens

    Article Title: The Antibacterial Efficacy of Far-UVC Light: A Combined-Method Study Exploring the Effects of Experimental and Bacterial Variables on Dose–Response

    doi: 10.3390/pathogens13080698

    Figure Lengend Snippet: Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab (v18); linear fit performed using Origin (v2019b).

    Article Snippet: All graphs were created using Origin (v2019b) software (OriginLab Corp, Northampton, MA, USA).

    Techniques:

    Graphs displaying data collected through systematised review for ( a ) bacterial cell density versus Far-UVC 1-Log 10 ID for all bacterial species, with data pertaining to at least three unique cell densities; ( b ) straight lines fitted using Origin (v2019b) to demonstrate relationship between cell density and Far-UVC 1-Log 10 ID for each individual bacterial species. * denotes significant Pearson correlation ( p < 0.05). All bacteria are in vegetative cell form.

    Journal: Pathogens

    Article Title: The Antibacterial Efficacy of Far-UVC Light: A Combined-Method Study Exploring the Effects of Experimental and Bacterial Variables on Dose–Response

    doi: 10.3390/pathogens13080698

    Figure Lengend Snippet: Graphs displaying data collected through systematised review for ( a ) bacterial cell density versus Far-UVC 1-Log 10 ID for all bacterial species, with data pertaining to at least three unique cell densities; ( b ) straight lines fitted using Origin (v2019b) to demonstrate relationship between cell density and Far-UVC 1-Log 10 ID for each individual bacterial species. * denotes significant Pearson correlation ( p < 0.05). All bacteria are in vegetative cell form.

    Article Snippet: All graphs were created using Origin (v2019b) software (OriginLab Corp, Northampton, MA, USA).

    Techniques: Bacteria

    Graphs displaying data collected through systematised review for ( a ) irradiance versus Far-UVC 1-Log 10 ID for all bacterial species with data pertaining to at least three unique irradiances; ( b ) straight lines fitted using Origin (v2019b) to demonstrate relationship between irradiance and 1-Log 10 ID for each individual bacterial species. Significant Pearson Correlation did not result in any case ( p < 0.05). All bacteria are in vegetative cell form unless specified otherwise.

    Journal: Pathogens

    Article Title: The Antibacterial Efficacy of Far-UVC Light: A Combined-Method Study Exploring the Effects of Experimental and Bacterial Variables on Dose–Response

    doi: 10.3390/pathogens13080698

    Figure Lengend Snippet: Graphs displaying data collected through systematised review for ( a ) irradiance versus Far-UVC 1-Log 10 ID for all bacterial species with data pertaining to at least three unique irradiances; ( b ) straight lines fitted using Origin (v2019b) to demonstrate relationship between irradiance and 1-Log 10 ID for each individual bacterial species. Significant Pearson Correlation did not result in any case ( p < 0.05). All bacteria are in vegetative cell form unless specified otherwise.

    Article Snippet: All graphs were created using Origin (v2019b) software (OriginLab Corp, Northampton, MA, USA).

    Techniques: Bacteria