Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21138
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dc.contributor.advisorAMELOOT, Marcel-
dc.contributor.advisorCLEUREN, Bart-
dc.contributor.advisorRIGO, Jean-Michel-
dc.contributor.authorDE CLERCQ, Ben-
dc.date.accessioned2016-05-19T10:41:47Z-
dc.date.available2016-05-19T10:41:47Z-
dc.date.issued2015-
dc.identifier.urihttp://hdl.handle.net/1942/21138-
dc.description.abstractIn this work, the Continuous Time Random Walk (CTRW) technique has been applied to simulate both free and anomalous diffusion. This framework offers a straightforward recipe to simulate both free and anomalous diffusion. By means of exponentially distributed waiting times, which have a finite expectation value, free diffusion is simulated. When the waiting time distribution does not have a finite expectation value, anomalous diffusion is obtained....-
dc.language.isoen-
dc.titleDiscrimination of diffusion models by ensemble-averaged microfluorimetric methods: Spatially resolved fluorescence recovery after photobleaching Lifetime-based raster image correlation spectroscopy-
dc.typeTheses and Dissertations-
local.format.pages157-
local.bibliographicCitation.jcatT1-
local.type.refereedNon-Refereed-
local.type.specifiedPhd thesis-
item.contributorDE CLERCQ, Ben-
item.accessRightsOpen Access-
item.fullcitationDE CLERCQ, Ben (2015) Discrimination of diffusion models by ensemble-averaged microfluorimetric methods: Spatially resolved fluorescence recovery after photobleaching Lifetime-based raster image correlation spectroscopy.-
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