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dc.contributor.advisorJo, Javier A
dc.contributor.advisorApplegate, Brian E
dc.creatorKhatkhatay, Mohammed M
dc.date.accessioned2015-01-09T20:50:03Z
dc.date.available2015-01-09T20:50:03Z
dc.date.created2014-05
dc.date.issued2014-04-25
dc.date.submittedMay 2014
dc.identifier.urihttp://hdl.handle.net/1969.1/152794
dc.description.abstractFluorescence lifetime imaging microscopy (FLIM) is a noninvasive invasive optical imaging modality which is finding new applications in medical imaging. In FLIM, the fluorescence time decay is measured at a pixel. The fluorescence impulse response function (IRF) is then estimated using a deconvolution of the instrument response and the measured fluorescence time decay. Two of the challenges facing FLIM are speed of the deconvolution and the accuracy of the IRFs. The linear expansion of the fluorescence decays based on the orthonormal Laguerre basis functions (LBFs) is among the fastest methods for estimating the IRFs. The automated implementation to optimize the Laguerre parameter improves the speed of the deconvolution using the LBFs but uses a global optimization. Therefore, the IRFs do not necessarily mimic exponential time decays, or monotonically decreasing functions. On the other hand, applying a constraint to the LBFs using the Active Set Nonnegative Least Squares (NNLS) method improves the IRF estimation. The estimation of the Laguerre parameter using the NNLS method, however, is about 10-15x slower. By combining these two deconvolution techniques, we found that the deconvolution time is similar to the automated global Laguerre parameter deconvolution while the IRF estimation always results in a monotonically decreasing function.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectFLIMen
dc.subjectfluorescenceen
dc.subjectdeconvolutionen
dc.subjectsignal processingen
dc.subjectLaguerre functionsen
dc.subjectimagingen
dc.titleImproving Fluorescence Lifetime Imaging Microscopy Deconvolution Using Constrained Laguerre Basis Functionsen
dc.typeThesisen
thesis.degree.departmentBiomedical Engineeringen
thesis.degree.disciplineBiomedical Engineeringen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberJi, Jim
dc.type.materialtexten
dc.date.updated2015-01-09T20:50:03Z
local.etdauthor.orcid0000-0002-8545-6845


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