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. 2021 Dec 21;11:24375. doi: 10.1038/s41598-021-03813-8

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© The Author(s) 2021

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Example of microcontact printing-based image analysis. (A) Comparison of B16-F1 and B16-F10 murine melanoma cells when unpatterned (U) or patterned (P) in 900 μm² islands. (B) Improvement of pairwise predictive accuracy when hard-to-discriminate cell lines are patterned. (C) Sensitivity, Specificity, and AUC of physiologically relevant comparisons B16-F1/B16-F10, HFF-1/HT-1080, and MCF10A/MDA-MB-231 for both patterned (P) and unpatterned (U) cells across both whole (W) and core (C) classes and all four SVM kernels.