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

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

dc.contributor.advisor	Kiraz, Alper
dc.contributor.kuauthor	Ketabchi, Amir Mohammad
dc.contributor.program	Electrical and Electronics Engineering
dc.contributor.schoolcollegeinstitute	GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.coverage.spatial	İstanbul
dc.date.accessioned	2024-11-09T22:23:47Z
dc.date.issued	2022
dc.format.extent	98 leaves : illustrations ; 30 cm.
dc.identifier.uri	https://hdl.handle.net/20.500.14288/5266
dc.language.iso	eng
dc.publisher	Koç University
dc.relation.collection	KU Theses and Dissertations
dc.rights	restrictedAccess
dc.rights.copyrightsnote	© All Rights Reserved. Accessible to Koç University Affiliated Users Only!
dc.subject	Confocal microscopy
dc.subject	Confocal fluorescence microscopy
dc.subject	Fluorescence microscopy
dc.title	Deep learning enhanced microscopy by training a convolutional neural network and a generative adversarial network with data collected using a line scanning confocal microscope
dc.type	Thesis
dspace.entity.type	Publication
local.contributor.kuauthor	Ketabchi, Amir Mohammad
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relation.isParentOrgUnitOfPublication	434c9663-2b11-4e66-9399-c863e2ebae43
relation.isParentOrgUnitOfPublication.latestForDiscovery	434c9663-2b11-4e66-9399-c863e2ebae43

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