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. 2021 Jun 14;8:668340. doi: 10.3389/fmolb.2021.668340

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Copyright © 2021 Parra.

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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Characterization of the distribution of cells from a sample of lung adenocarcinoma in a multiplex immunofluorescence image. (A) Results of quadrant analysis, with each quadrant containing the exact number of cells in a square, represented by dots. (B) Heat map of Kernel smoothing from the same area of the image, showing areas of high and low proliferation of cells, identified by colored regions (see color scale at right). The images were generated using R studio software version 3.6.0.