Show simple item record

dc.contributor.authorPettygrove, Brian A.
dc.contributor.authorSmith, Heidi J.
dc.contributor.authorPallister, Kyler B.
dc.contributor.authorVoyich, Jovanka M.
dc.contributor.authorStewart, Philip S.
dc.contributor.authorParker, Albert E.
dc.date.accessioned2022-05-19T21:43:09Z
dc.date.available2022-05-19T21:43:09Z
dc.date.issued2022-01
dc.identifier.citationPettygrove, B. A., Smith, H. J., Pallister, K. B., Voyich, J. M., Stewart, P. S., & Parker, A. E. (2021). Experimental Designs to Study the Aggregation and Colonization of Biofilms by Video Microscopy With Statistical Confidence. Frontiers in microbiology, 12, 785182-785182.en_US
dc.identifier.issn1664-302X
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/16804
dc.description.abstractThe goal of this study was to quantify the variability of confocal laser scanning microscopy (CLSM) time-lapse images of early colonizing biofilms to aid in the design of future imaging experiments. To accomplish this a large imaging dataset consisting of 16 independent CLSM microscopy experiments was leveraged. These experiments were designed to study interactions between human neutrophils and single cells or aggregates of Staphylococcus aureus (S. aureus) during the initial stages of biofilm formation. Results suggest that in untreated control experiments, variability differed substantially between growth phases (i.e., lag or exponential). When studying the effect of an antimicrobial treatment (in this case, neutrophil challenge), regardless of the inoculation level or of growth phase, variability changed as a frown-shaped function of treatment efficacy (i.e., the reduction in biofilm surface coverage). These findings were used to predict the best experimental designs for future imaging studies of early biofilms by considering differing (i) numbers of independent experiments; (ii) numbers of fields of view (FOV) per experiment; and (iii) frame capture rates per hour. A spreadsheet capable of assessing any user-specified design is included that requires the expected mean log reduction and variance components from user-generated experimental results. The methodology outlined in this study can assist researchers in designing their CLSM studies of antimicrobial treatments with a high level of statistical confidence.en_US
dc.language.isoen_USen_US
dc.publisherFrontiers Media SAen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleExperimental Designs to Study the Aggregation and Colonization of Biofilms by Video Microscopy With Statistical Confidencen_US
dc.typeArticleen_US
mus.citation.extentfirstpage1en_US
mus.citation.extentlastpage13en_US
mus.citation.journaltitleFrontiers in Microbiologyen_US
mus.citation.volume12en_US
mus.identifier.doi10.3389/fmicb.2021.785182en_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentCenter for Biofilm Engineering.en_US
mus.relation.departmentChemical & Biological Engineering.en_US
mus.relation.departmentMathematical Sciences.en_US
mus.relation.departmentMicrobiology & Cell Biology.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.relation.researchgroupCenter for Biofilm Engineering.en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/

MSU uses DSpace software, copyright © 2002-2017  Duraspace. For library collections that are not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material.