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. 2021 Jun 11;8:689799. doi: 10.3389/fmolb.2021.689799

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Copyright © 2021 Apaolaza, Petropoulou and Rodriguez-Calvo.

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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Schematic illustration of the immune cell detection workflow using QuPath. (A) Comparison of the thresholding (single measurement classifier) and the machine learning (train object classifier) option for the detection of CD45+ cells. (B) Workflow for the detection and distance analysis of CD3+ and CD8+ cells detected with thresholding and machine learning. Heatmaps were created to depict the relative distance of CD3+ and CD8+ cells (either individually or combined as one class) to the annotated islets.