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. 2017 Nov 16;7:15717. doi: 10.1038/s41598-017-15885-6

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Andy’s DAB+ IHC algorithm can be used to score breast cancer TMAs. (A) Representative raw IHC images (left panels) depicting 20–80% nuclear or cytoplasmic expression of MCL-1 using cores selected from a cohort of TMAs in²². Selection overlays produced after analysis of the raw MCL-1 IHC images for total (red) and DAB+ (green) selections. Bar graphs depicting the percentage of the core positive for MCL-1 with either nuclear (B, n = 11) or cytoplasmic (C, n = 16) staining scored with either Andy’s PLA pipeline (black) or manual pathological scoring (red). Chi-squared p-value.