caa a22 4500 60547981X CHVBK 20210128100412.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s10544-015-9956-7 doi (NATIONALLICENCE)springer-10.1007/s10544-015-9956-7 A transfer function approach for predicting rare cell capture microdevice performance [Elektronische Daten] [James Smith, Brian Kirby] Rare cells have the potential to improve our understanding of biological systems and the treatment of a variety of diseases; each of those applications requires a different balance of throughput, capture efficiency, and sample purity. Those challenges, coupled with the limited availability of patient samples and the costs of repeated design iterations, motivate the need for a robust set of engineering tools to optimize application-specific geometries. Here, we present a transfer function approach for predicting rare cell capture in microfluidic obstacle arrays. Existing computational fluid dynamics (CFD) tools are limited to simulating a subset of these arrays, owing to computational costs; a transfer function leverages the deterministic nature of cell transport in these arrays, extending limited CFD simulations into larger, more complicated geometries. We show that the transfer function approximation matches a full CFD simulation within 1.34 %, at a 74-fold reduction in computational cost. Taking advantage of these computational savings, we apply the transfer function simulations to simulate reversing array geometries that generate a "notch filter” effect, reducing the collision frequency of cells outside of a specified diameter range. We adapt the transfer function to study the effect of off-design boundary conditions (such as a clogged inlet in a microdevice) on overall performance. Finally, we have validated the transfer function's predictions for lateral displacement within the array using particle tracking and polystyrene beads in a microdevice. Springer Science+Business Media New York, 2015 Rare cell capture nationallicence Circulating tumor cell nationallicence CTC nationallicence Transfer function nationallicence Collision dynamics nationallicence Cell capture nationallicence Design optimization nationallicence Smith James Sibley School of Mechanical and Aerospace Engineering, Cornell University, 14853, Ithaca, NY, USA aut Kirby Brian Sibley School of Mechanical and Aerospace Engineering, Cornell University, 14853, Ithaca, NY, USA aut Biomedical Microdevices Springer US; http://www.springer-ny.com 17/3(2015-06-01), 1-11 1387-2176 17:3<1 2015 17 10544 https://doi.org/10.1007/s10544-015-9956-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10544-015-9956-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Smith James Sibley School of Mechanical and Aerospace Engineering, Cornell University, 14853, Ithaca, NY, USA aut NATIONALLICENCE 700 1- Kirby Brian Sibley School of Mechanical and Aerospace Engineering, Cornell University, 14853, Ithaca, NY, USA aut NATIONALLICENCE 773 0- Biomedical Microdevices Springer US; http://www.springer-ny.com 17/3(2015-06-01), 1-11 1387-2176 17:3<1 2015 17 10544