| dc.contributor.advisor | Edward Boyden. | en_US |
| dc.contributor.author | Shin, Tay Won. | en_US |
| dc.contributor.other | Program in Media Arts and Sciences (Massachusetts Institute of Technology) | en_US |
| dc.date.accessioned | 2021-01-06T18:33:42Z | |
| dc.date.available | 2021-01-06T18:33:42Z | |
| dc.date.copyright | 2020 | en_US |
| dc.date.issued | 2020 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1721.1/129192 | |
| dc.description | Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, September, 2020 | en_US |
| dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 35-39). | en_US |
| dc.description.abstract | Expansion microscopy(ExM) and iterative expansion microscopy(iExM) enables nanometer resolution by physically expanding fixed specimens using a conventional diffraction limited optical microscope. Here, we introduce a polymer-anchorable lipid intercalating label that binds to membranes of fixed tissue to perform ExM and iExM, which we call membrane expansion microscopy (mExM) and membrane iterative expansion microscopy (imExM), respectively. The technology is also compatible with immunohistochemistry to visualize proteins of interest (i.e. nuclear pore complex, Golgi apparatus, etc.). With the technology, we can reconstruct structural and molecular information at a resolution between approximately 15nm to 20 nm. | en_US |
| dc.description.statementofresponsibility | by Tay Won Shin. | en_US |
| dc.format.extent | 39 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Program in Media Arts and Sciences | en_US |
| dc.title | Iterative expansion microscopy using lipid and protein labels for nano-scale imaging of brain circuits | en_US |
| dc.title.alternative | Iterative ExM using lipid and protein labels for nano-scale imaging of brain circuits | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | S.M. | en_US |
| dc.contributor.department | Program in Media Arts and Sciences (Massachusetts Institute of Technology) | en_US |
| dc.identifier.oclc | 1227278588 | en_US |
| dc.description.collection | S.M. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences | en_US |
| dspace.imported | 2021-01-06T18:33:41Z | en_US |
| mit.thesis.degree | Master | en_US |
| mit.thesis.department | Media | en_US |