dc.contributor.advisor | Han, Jongyoon | |
dc.contributor.author | Choi, Kyungyong | |
dc.date.accessioned | 2022-02-07T15:22:29Z | |
dc.date.available | 2022-02-07T15:22:29Z | |
dc.date.issued | 2021-09 | |
dc.date.submitted | 2021-09-21T19:30:43.295Z | |
dc.identifier.uri | https://hdl.handle.net/1721.1/140073 | |
dc.description.abstract | Biological assays for various biological samples are often limited by the low purity of target cells/particles due to the presence of significant host background. A spiral inertial microfluidic cell sorting device can be used to separate cells/particles based on their sizes without any specific labeling and result in a purified sample with a higher purity of target particles, enabling a higher chance of detecting/analyzing those particles of interest for biological assays. Moreover, the cell-sorting ability of spiral devices can be applied as a cell-washing technology to isolate target cells while removing unwanted particles such as adventitious agents for a better quality of cellular products or manufacturing cells in biomanufacturing. This work provides numerous applications of spiral cell sorter-based microfluidic sample preparation on various biological samples. We propose to apply spiral microfluidic sorter for various biological samples to acquire enhanced readouts for targeted downstream assays such as Next-generation sequencing (NGS) or improved quality of cells for biomanufacturing. | |
dc.publisher | Massachusetts Institute of Technology | |
dc.rights | In Copyright - Educational Use Permitted | |
dc.rights | Copyright MIT | |
dc.rights.uri | http://rightsstatements.org/page/InC-EDU/1.0/ | |
dc.title | Versatile Biological Sample Preparation Platform using Microfluidic Cell Sorting Device | |
dc.type | Thesis | |
dc.description.degree | Ph.D. | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.identifier.orcid | https://orcid.org/0000-0003-0935-4158 | |
mit.thesis.degree | Doctoral | |
thesis.degree.name | Doctor of Philosophy | |