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dc.contributor.advisorEdward S. Boyden.en_US
dc.contributor.authorSun, Ranbel F. (Ranbel Field)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2014-03-06T15:47:04Z
dc.date.available2014-03-06T15:47:04Z
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/85508
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, September 2013.en_US
dc.descriptionCataloged from PDF version of thesis. "August 2013."en_US
dc.descriptionIncludes bibliographical references (pages 97-100).en_US
dc.description.abstractA stochastic optical reconstruction microscope was built and demonstrated for under $20,000, enabling hands-on learning of single-molecule localization concepts in teaching laboratories. This was accomplished by replacing the most expensive parts of $500,000 commercial instruments, namely the laser, camera, and objective, with lower cost alternatives. Since lower cost also comes with higher noise, we characterized the optical and noise characteristics of the microscope. A new sample protocol, consisting of microspheres labeled with streptavidin-Alexa 647 conjugates, was developed to test the system, compare the image quality of two reconstruction programs (QuickPALM and rapidSTORM), and evaluate trade-offs in camera selection. Finally, by imaging defined actin features in 3T3 cells, the instrument was estimated to have a sub-diffraction resolution between 70 -100 nm.en_US
dc.description.statementofresponsibilityby Ranbel F. Sun.en_US
dc.format.extent100 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleLow-cost educational stochastic optical reconstruction microscopy (eSTORM)en_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc871004481en_US


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