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dc.contributor.authorKeller, Philipp J.
dc.contributor.authorKim, Sung-Yon
dc.contributor.authorCho, Jae Hun
dc.contributor.authorMurray, Evan
dc.contributor.authorBakh, Naveed Ali
dc.contributor.authorChoi, Heejin
dc.contributor.authorOhn, Kimberly
dc.contributor.authorRuelas, Luzdary T.
dc.contributor.authorHubbert, Austin W.
dc.contributor.authorMcCue, Margaret Grace
dc.contributor.authorLing, Sara Lynn
dc.contributor.authorChung, Kwanghun
dc.date.accessioned2017-05-05T19:06:28Z
dc.date.available2017-05-05T19:06:28Z
dc.date.issued2015-11
dc.date.submitted2015-05
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/108706
dc.description.abstractNondestructive chemical processing of porous samples such as fixed biological tissues typically relies on molecular diffusion. Diffusion into a porous structure is a slow process that significantly delays completion of chemical processing. Here, we present a novel electrokinetic method termed stochastic electrotransport for rapid nondestructive processing of porous samples. This method uses a rotational electric field to selectively disperse highly electromobile molecules throughout a porous sample without displacing the low-electromobility molecules that constitute the sample. Using computational models, we show that stochastic electrotransport can rapidly disperse electromobile molecules in a porous medium. We apply this method to completely clear mouse organs within 1–3 days and to stain them with nuclear dyes, proteins, and antibodies within 1 day. Our results demonstrate the potential of stochastic electrotransport to process large and dense tissue samples that were previously infeasible in time when relying on diffusion.en_US
dc.description.sponsorshipSimons Foundation. Postdoctoral Fellowshipen_US
dc.description.sponsorshipLife Sciences Research Foundationen_US
dc.description.sponsorshipBurroughs Wellcome Fund (Career Awards at the Scientific Interface)en_US
dc.description.sponsorshipSearle Scholars Programen_US
dc.description.sponsorshipMichael J. Fox Foundation for Parkinson's Researchen_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agencyen_US
dc.description.sponsorshipJPB Foundationen_US
dc.description.sponsorshipNational Institutes of Health (U.S.)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant 1-U01-NS090473-01)en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1510133112en_US
dc.rightsArticle 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.en_US
dc.sourceNational Academy of Sciences (U.S.)en_US
dc.titleStochastic electrotransport selectively enhances the transport of highly electromobile moleculesen_US
dc.typeArticleen_US
dc.identifier.citationKim, Sung-Yon, Jae Hun Cho, Evan Murray, Naveed Bakh, Heejin Choi, Kimberly Ohn, Luzdary Ruelas, et al. “Stochastic Electrotransport Selectively Enhances the Transport of Highly Electromobile Molecules.” Proc Natl Acad Sci USA 112, no. 46 (November 2, 2015): E6274–E6283. © 2015 National Academy of Sciencesen_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentPicower Institute for Learning and Memoryen_US
dc.contributor.mitauthorKim, Sung-Yon
dc.contributor.mitauthorCho, Jae Hun
dc.contributor.mitauthorMurray, Evan
dc.contributor.mitauthorBakh, Naveed Ali
dc.contributor.mitauthorChoi, Heejin
dc.contributor.mitauthorOhn, Kimberly
dc.contributor.mitauthorRuelas, Luzdary T.
dc.contributor.mitauthorHubbert, Austin W.
dc.contributor.mitauthorMcCue, Margaret Grace
dc.contributor.mitauthorLing, Sara Lynn
dc.contributor.mitauthorChung, Kwanghun
dc.relation.journalProceedings of the National Academy of Sciences of the United States of Americaen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsKim, Sung-Yon; Cho, Jae Hun; Murray, Evan; Bakh, Naveed; Choi, Heejin; Ohn, Kimberly; Ruelas, Luzdary; Hubbert, Austin; McCue, Meg; Vassallo, Sara L.; Keller, Philipp J.; Chung, Kwanghunen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2880-349X
dc.identifier.orcidhttps://orcid.org/0000-0003-2927-7321
dc.identifier.orcidhttps://orcid.org/0000-0002-0907-6736
dc.identifier.orcidhttps://orcid.org/0000-0003-3681-7410
dc.identifier.orcidhttps://orcid.org/0000-0002-2287-9998
dc.identifier.orcidhttps://orcid.org/0000-0002-8167-3340
mit.licensePUBLISHER_POLICYen_US


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