Skip to main content

ERRATUM article

Front. Microbiol., 27 April 2021
Sec. Microbial Immunology
Volume 12 - 2021 | https://doi.org/10.3389/fmicb.2021.688832

Erratum: Pixel-Based Machine Learning and Image Reconstitution for Dot-ELISA Pathogen Diagnosis in Biological Samples

This article is an erratum on:

  1. Pixel-Based Machine Learning and Image Reconstitution for Dot-ELISA Pathogen Diagnosis in Biological Samples

    1. Read original article
\nFrontiers Production Office Frontiers Production Office*
  • Frontiers Media SA, Lausanne, Switzerland

An Erratum on
Pixel-Based Machine Learning and Image Reconstitution for Dot-ELISA Pathogen Diagnosis in Biological Samples

by Anastassopoulou, C., Tsakris, A., Patrinos, G. P., and Manoussopoulos, Y. (2021). Front. Microbiol. 12:562199. doi: 10.3389/fmicb.2021.562199

Due to a production error, two formulas were incorrectly published in the Materials and Methods section, subsection Step 2: Model Selection and Supervised Training of the Classifier Algorithm. The correct formulas are provided below.

ln [π(x)1−π(x)]=α+β1xR+β2xG+β3xB+β4xDil                          π(x)=eα+β1xR+β2xG+β3xB+β4xDil1+eα+β1xR+β2xG+β3xB+β4xDil

The publisher apologizes for this mistake. The original article has been updated.

Keywords: dot-blot ELISA, machine learning, image analysis, serological assays, sensitivity and specificity, ROC curve, diagnostic performance

Citation: Frontiers Production Office (2021) Erratum: Pixel-Based Machine Learning and Image Reconstitution for Dot-ELISA Pathogen Diagnosis in Biological Samples. Front. Microbiol. 12:688832. doi: 10.3389/fmicb.2021.688832

Received: 31 March 2021; Accepted: 31 March 2021;
Published: 27 April 2021.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2021 Frontiers Production Office. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Frontiers Production Office, production.office@frontiersin.org

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.