Porous microwells for geometry-selective, large-scale microparticle arrays

Large-scale microparticle arrays (LSMAs) are key for material science and bioengineering applications. However, previous approaches suffer from trade-offs between scalability, precision, specificity and versatility. Here, we present a porous microwell-based approach to create large-scale micropartic...

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Main Authors: Bong, Ki Wan, Reátegui, Eduardo, Irimia, Daniel, Kim, Jae Jung, Doyle, Patrick S
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering
Format: Article
Language:en_US
Published: Nature Publishing Group 2017
Online Access:http://hdl.handle.net/1721.1/107258
https://orcid.org/0000-0002-7753-8947
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author Bong, Ki Wan
Reátegui, Eduardo
Irimia, Daniel
Kim, Jae Jung
Doyle, Patrick S
author2 Massachusetts Institute of Technology. Department of Chemical Engineering
author_facet Massachusetts Institute of Technology. Department of Chemical Engineering
Bong, Ki Wan
Reátegui, Eduardo
Irimia, Daniel
Kim, Jae Jung
Doyle, Patrick S
author_sort Bong, Ki Wan
collection MIT
description Large-scale microparticle arrays (LSMAs) are key for material science and bioengineering applications. However, previous approaches suffer from trade-offs between scalability, precision, specificity and versatility. Here, we present a porous microwell-based approach to create large-scale microparticle arrays with complex motifs. Microparticles are guided to and pushed into microwells by fluid flow through small open pores at the bottom of the porous well arrays. A scaling theory allows for the rational design of LSMAs to sort and array particles on the basis of their size, shape, or modulus. Sequential particle assembly allows for proximal and nested particle arrangements, as well as particle recollection and pattern transfer. We demonstrate the capabilities of the approach by means of three applications: high-throughput single-cell arrays; microenvironment fabrication for neutrophil chemotaxis; and complex, covert tags by the transfer of an upconversion nanocrystal-laden LSMA.
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spelling mit-1721.1/1072582022-09-29T14:43:17Z Porous microwells for geometry-selective, large-scale microparticle arrays Bong, Ki Wan Reátegui, Eduardo Irimia, Daniel Kim, Jae Jung Doyle, Patrick S Massachusetts Institute of Technology. Department of Chemical Engineering Kim, Jae Jung Doyle, Patrick S Large-scale microparticle arrays (LSMAs) are key for material science and bioengineering applications. However, previous approaches suffer from trade-offs between scalability, precision, specificity and versatility. Here, we present a porous microwell-based approach to create large-scale microparticle arrays with complex motifs. Microparticles are guided to and pushed into microwells by fluid flow through small open pores at the bottom of the porous well arrays. A scaling theory allows for the rational design of LSMAs to sort and array particles on the basis of their size, shape, or modulus. Sequential particle assembly allows for proximal and nested particle arrangements, as well as particle recollection and pattern transfer. We demonstrate the capabilities of the approach by means of three applications: high-throughput single-cell arrays; microenvironment fabrication for neutrophil chemotaxis; and complex, covert tags by the transfer of an upconversion nanocrystal-laden LSMA. National Science Foundation (U.S.) (Grant CMMI-1120724) Samsung Scholarship Foundation National Institutes of Health (U.S.) (Grant GM092804) National Science Foundation (U.S.). Materials Research Science and Engineering Centers (Program) (Award DMR-1419807) 2017-03-09T18:52:30Z 2017-03-09T18:52:30Z 2016-09 2016-01 Article http://purl.org/eprint/type/JournalArticle 1476-1122 1476-4660 http://hdl.handle.net/1721.1/107258 Kim, Jae Jung et al. “Porous Microwells for Geometry-Selective, Large-Scale Microparticle Arrays.” Nature Materials 16.1 (2016): 139–146. https://orcid.org/0000-0002-7753-8947 en_US http://dx.doi.org/10.1038/NMAT4747 Nature Materials Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Nature Publishing Group PMC
spellingShingle Bong, Ki Wan
Reátegui, Eduardo
Irimia, Daniel
Kim, Jae Jung
Doyle, Patrick S
Porous microwells for geometry-selective, large-scale microparticle arrays
title Porous microwells for geometry-selective, large-scale microparticle arrays
title_full Porous microwells for geometry-selective, large-scale microparticle arrays
title_fullStr Porous microwells for geometry-selective, large-scale microparticle arrays
title_full_unstemmed Porous microwells for geometry-selective, large-scale microparticle arrays
title_short Porous microwells for geometry-selective, large-scale microparticle arrays
title_sort porous microwells for geometry selective large scale microparticle arrays
url http://hdl.handle.net/1721.1/107258
https://orcid.org/0000-0002-7753-8947
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