dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Salavenich, Palina | |
dc.contributor.author | Ehrencron, Tomas | |
dc.date.accessioned | 2022-11-18T00:00:38Z | |
dc.date.available | 2022-11-18T00:00:38Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/43208 | |
dc.description.abstract | Single Molecule Localization Microscopy is a set of techniques that allows to overcome the diffraction limit and create higher resolution images by processing entire image series and combining the results. Molecules that lie too close to each other to separate, are separated in time instead. The experiments to acquire these images can be tedious and time-consuming. To speed up this process, we can image more molecules per frame, but this will result in overlapping molecules. We explore two methods to solve the issue of overlapping molecules in the image. We present a new method in solving this problem using sparse regularization. | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | We explore two different algorithms for multi-emitter localization. In this localization setting molecules can overlap, making them harder to distinguish. We use sparse deconvolution to localize these molecules. | |
dc.title | Exploring the multi-emitter localization problem in high and low density settings | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | SMLM, molecule localization, localization, deconvolution, regularization | |
dc.subject.courseuu | Mathematical Sciences | |
dc.thesis.id | 12094 | |