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. 2017 Dec 12;7:17375. doi: 10.1038/s41598-017-17388-w

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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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Device geometry optimization: Small and large particle enrichment factors for (a) width optimization (top) and angle optimization (bottom). Enrichment factor is the ratio of (targeted particles/non-targeted particles at outlet) to (targeted particles/non-targeted particles at inlet).Error bars represent standard deviation from repeated experiments. Each experiment is repeated 5 times. (b) Shows the experimental and (c) simulated particle trajectories for different combinations of channel widths and ridge angles.