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dc.contributor.authorSingh, Rahul
dc.date.accessioned2014-11-25T19:31:49Z
dc.date.available2014-11-25T19:31:49Z
dc.date.issued2014-11-25
dc.identifier.urihttp://hdl.handle.net/10222/55970
dc.description.abstractStructured illumination microscopy (SIM) increases resolution of optical microscopes substantially. However, simulation of this process using mathematical models is still a novel notion. Purpose: To design a program to simulate the process of SIM and study its application on biological samples. Method: Pre-defined images of microscopic samples were blurred and then reconstructed using a simulation designed in MATLAB. Experimental application of SIM and simulated reconstruction of images obtained using a microscope was then performed. Results: Considerably high resolution images were obtained from the simulation, which was also supported by the pixel intensity plots, signal to noise ratio and peak signal to noise ratio analyses. Resolution of images of samples obtained from experimentally performing SIM on a microscope were also similar to their simulated reconstruction. Conclusion: SIM is a desirable option for optimally imaging biological microscopic samples, physically as well as through simulation process.en_US
dc.language.isoenen_US
dc.subjectSIMen_US
dc.subjectDMDen_US
dc.subjectSTRUCTURED ILLUMINATIONen_US
dc.subjectSUPERRESOLUTIONen_US
dc.titleSTRUCTURED ILLUMINATION MICROSCOPY USING DIGITAL MICROMIRROR DEVICEen_US
dc.date.defence2014-11-13
dc.contributor.departmentDepartment of Electrical & Computer Engineeringen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.external-examinerDr. William Phillipsen_US
dc.contributor.graduate-coordinatorDr. Sergey Ponomarenkoen_US
dc.contributor.thesis-readerDr. Kamal El-Sankaryen_US
dc.contributor.thesis-supervisorDr. Michael Cadaen_US
dc.contributor.thesis-supervisorDr. Alan Fine
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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