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. 2019 Jul 1;21:13. doi: 10.1186/s12575-019-0098-9

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© The Author(s) 2019

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 4 — Visualization of outputs of different segmentation methods. a — Original single-channel image (ROI No. 09, CD14 ⁺/488 nm), contrast enhanced by factor 3, scale bar 45 μm. b — Manual count within a; macrophages tagged with green squares. c — Output mask I_segm of ROF filter based segmentation (S1), (S2). d — Annotated image as output of software kit Tissue Studio (S3), contrast enhanced by factor 6, detected macrophage area in red. e — Annotated image as output of software kit Halo (S4), contrast enhanced by factor 3, detected macrophage area in red. f — Annotated image as output of machine learning method Mask R-CNN (S5)