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Improving cryo-ET reconstructions of ER-associated ribosomes with tomographic reconstruction methods and deep learning

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorvan Leeuwen, Dr. T
dc.contributor.authorSchoonhoven, R.A.
dc.date.accessioned2019-08-22T17:00:36Z
dc.date.available2019-08-22T17:00:36Z
dc.date.issued2019
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/33553
dc.description.sponsorshipUtrecht University
dc.format.extent32553018
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleImproving cryo-ET reconstructions of ER-associated ribosomes with tomographic reconstruction methods and deep learning
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsTomography, Deep learning, Neural networks, Inverse problems, imaging, CT, computerized tomography, cryo-ET, cryo-EM, reconstruction methods, SIRT, FBP, Total variation, MS-D network
dc.subject.courseuuMathematical Sciences


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