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dc.contributor.advisorMontes Usategui, Mario-
dc.contributor.authorTrofymchuk, Artem-
dc.descriptionTreballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Mario Montes Usateguica
dc.description.abstractI have tried a Richardson-Lucy deconvolution algorithm with a simulator of a programmable illumination laser microscope coded in Python for different excitation patterns, concluding that the most resolutive optimization process is for the multi point mode scanning, achieving a resolution below 100nm for a simulated noisy imageca
dc.format.extent5 p.-
dc.rightscc-by-nc-nd (c) Trofymchuk, Trofymchuk-
dc.sourceTreballs Finals de Grau (TFG) - Física-
dc.subject.classificationAlgorisme Richardson–Lucycat
dc.subject.classificationMicroscopi confocalcat
dc.subject.classificationTreballs de fi de graucat
dc.subject.otherRichardson–Lucy algorithmeng
dc.subject.otherConfocal microscopyeng
dc.subject.otherBachelor's theseseng
dc.titleRichardson-Lucy deconvolution for super-resolution imaging in a confocal microscope with programmable illuminationeng
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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