Advancements in Single Molecule Localization Microscopy for Improved Multichannel, 3-Dimensional, and Structurally-Dense Imaging

dc.contributor.advisorVaughan, Joshua C
dc.contributor.authorGagnon, Lauren
dc.date.accessioned2019-08-14T22:30:50Z
dc.date.available2019-08-14T22:30:50Z
dc.date.issued2019-08-14
dc.date.submitted2019
dc.descriptionThesis (Ph.D.)--University of Washington, 2019
dc.description.abstractSuper-resolution fluorescence microscopy now enables cellular detail to be probed at the nanometer scale using far-field optics with widely available instrumentation. However, single molecule localization microscopy (SMLM) techniques that rely on the stochastic on-off switching of individual fluorophores to achieve higher resolution face significant drawbacks when trying to achieve multicolor, 3-D, and structurally-dense imaging. This is due to limitations in the photoswitchable fluorophores currently available. Here, I provide a detailed discussion of photoswitchable fluorophores for SMLM and the challenges they create. I also present a new method, prSTORM, which is capable of using a single fluorophore to image all channels and achieve 3-D imaging at extended depths through the use of DNA barcodes. Additionally, I propose how this methodology can be extended to high structural density imaging without compromising resolution.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherGagnon_washington_0250E_20037.pdf
dc.identifier.urihttp://hdl.handle.net/1773/44114
dc.language.isoen_US
dc.relation.haspartMovie 1.mp4; video; Live-cell mitochondria.
dc.rightsnone
dc.subject
dc.subjectChemistry
dc.subject.otherChemistry
dc.titleAdvancements in Single Molecule Localization Microscopy for Improved Multichannel, 3-Dimensional, and Structurally-Dense Imaging
dc.typeThesis

Files

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
Gagnon_washington_0250E_20037.pdf
Size:
7.14 MB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
Movie 1.mp4
Size:
3.15 MB
Format:
Unknown data format

Collections