Predictive accuracy and densitometric analysis of point-of-care immunoassay for adenoviral conjunctivitis

Authors

Spencer D Johnson, Northeastern State University
Mary K Migneco, Washington University School of Medicine in St. Louis
Mathew S Margolis, Washington University School of Medicine in St. Louis
Leonard W Haertter, Washington University School of Medicine in St. Louis
Julia B Huecker, Washington University School of Medicine in St. Louis
Richard S Buller, Washington University School of Medicine in St. Louis
Gregory A Storch, Washington University School of Medicine in St. Louis
Mae O Gordon, Washington University School of Medicine in St. Louis
et al

Journal

Translational Vision Science & Technology

Publication Date

8-25-2021

Volume

10

Issue

9

First Page

30

Document Type

Open Access Publication

DOI

10.1167/tvst.10.9.30

Rights and Permissions

Johnson SD, Harthan JS, Than T, Migneco MK, Shorter E, Whiteside MM, Morettin CE, Olson CK, Rosemann CA, Margolis MS, Haertter LW, Huecker JB, Rodic-Polic B, Buller RS, Storch GA, Gordon MO, Hartwick ATE. Predictive accuracy and densitometric analysis of point-of-care immunoassay for adenoviral conjunctivitis. Transl Vis Sci Technol. 2021;10(9):30, https://doi.org/10.1167/tvst.10.9.30 Copyright 2021 The Authors tvst.arvojournals.org | ISSN: 2164-2591 This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Johnson, Spencer D; Migneco, Mary K; Margolis, Mathew S; Haertter, Leonard W; Huecker, Julia B; Buller, Richard S; Storch, Gregory A; Gordon, Mae O; and et al, "Predictive accuracy and densitometric analysis of point-of-care immunoassay for adenoviral conjunctivitis." Translational Vision Science & Technology. 10, 9. 30 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/10999