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. 2021 Mar 3;12:562199. doi: 10.3389/fmicb.2021.562199

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Copyright © 2021 Anastassopoulou, Tsakris, Patrinos and Manoussopoulos.

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.

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Scanned image of a DE output of positive and negative controls of MilBVV (A) and reconstituted image (B) made by pixels with predicted probabilities above the 0.135 cutoff based on the LBVaV-trained model. Lanes A and B show duplicates of undiluted (1 and 5), and 1:5 (2) 1:10 (3), and 1:50 (4) dilutions of the positive control of MilBVV. Dots 6 and 7 are buffer only controls. Dots 8 to 12 contain the negative control of MilBVV undiluted (8, 12), and at 1:5 (9), 1:10 (10), and 1:50 (11) dilutions. The translation of unique antigens, of MilBVV here, to the universal basic color language allows for its detection by the algorithm (model) we built, even though it was trained on the basis of a different virus, LBVaV.