2026-09-19T04:55:08Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/855082026-06-06T00:49:23Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Edward S. Boyden.
Sun, Ranbel F. (Ranbel Field)
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2014-03-06T15:47:04Z
2014-03-06T15:47:04Z
2013
http://hdl.handle.net/1721.1/85508
871004481
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, September 2013.
Cataloged from PDF version of thesis. "August 2013."
Includes bibliographical references (pages 97-100).
A 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.
by Ranbel F. Sun.
M.Eng.
100 pages
eng
Massachusetts Institute of Technology
M.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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Low-cost educational stochastic optical reconstruction microscopy (eSTORM)
Thesis
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