2018
DOI: 10.1016/j.ultras.2017.11.009
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Design and simulation of a microfluidic device for acoustic cell separation

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Cited by 63 publications
(38 citation statements)
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“…These studies, which were carried out on the construct, reveals its potential for diagnostic application. In future studies, we aim to enhance the performance of platform by experimental implementation of ideas presented in this study and our previous studies [ 19 , 20 , 21 , 22 ].…”
Section: Discussionmentioning
confidence: 99%
“…These studies, which were carried out on the construct, reveals its potential for diagnostic application. In future studies, we aim to enhance the performance of platform by experimental implementation of ideas presented in this study and our previous studies [ 19 , 20 , 21 , 22 ].…”
Section: Discussionmentioning
confidence: 99%
“…Parallel to experimental studies of SSAW-based separation, several numerical studies have been proposed for improving separation efficiency. Recently, Shamloo et al presented a numerical method of SSAW-based separation of platelets, red blood cells, and white blood cells [ 82 ]. In this case, to find the maximum separation efficiency, they studied the influence of applied voltage to the performance of separation.…”
Section: Saw-based Separationmentioning
confidence: 99%
“…The principle of separation in microfluidic systems operates via well-designed microchannels and precisely controlled external physical separation methods that utilize acoustic fields [ 11 , 12 ], fluorescence activation [ 13 , 14 ], optical filing [ 15 , 16 ], magnetic activation [ 17 , 18 ], and electrical fields [ 19 , 20 , 21 ]. Shamloo et al [ 11 ] simulated the separation of blood cells with acoustic fields, while evaluating the most efficient and low-cost separation devices by altering factors of acoustic field devices. In addition, Rosental et al [ 14 ] demonstrated and developed a method to isolate different cell populations in corals and other cnidarians using fluorescent activated cell sorting (FACS) technology, which is an advanced cell sorting technique.…”
Section: Introductionmentioning
confidence: 99%