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Deep learning enhanced microscopy by training a convolutional neural network and a generative adversarial network with data collected using a line scanning confocal microscope

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dc.contributor.advisorKiraz, Alper
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorKetabchi, Amir Mohammad
dc.contributor.programElectrical and Electronics Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.coverage.spatialİstanbul
dc.date.accessioned2024-11-09T22:23:47Z
dc.date.issued2022
dc.format.extent98 leaves : illustrations ; 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/5266
dc.language.isoeng
dc.publisherKoç University
dc.relation.collectionKU Theses and Dissertations
dc.rightsrestrictedAccess
dc.rights.copyrightsnote© All Rights Reserved. Accessible to Koç University Affiliated Users Only!
dc.subjectConfocal microscopy
dc.subjectConfocal fluorescence microscopy
dc.subjectFluorescence microscopy
dc.titleDeep learning enhanced microscopy by training a convolutional neural network and a generative adversarial network with data collected using a line scanning confocal microscope
dc.typeThesis
dspace.entity.typePublication
local.contributor.kuauthorKetabchi, Amir Mohammad
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