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dc.contributor.author | Stefanoiu, Anca | |
dc.contributor.author | Scrofani, G. | |
dc.contributor.author | Saavedra Tortosa, Genaro | |
dc.contributor.author | Martínez Corral, Manuel | |
dc.contributor.author | Lasser, Tobias | |
dc.date.accessioned | 2020-06-01T08:31:50Z | |
dc.date.available | 2020-06-01T08:31:50Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Stefanoiu, Anca Scrofani, G. Saavedra Tortosa, Genaro Martínez Corral, Manuel Lasser, Tobias 2020 What about computational super-resolution in fluorescence Fourier light field microscopy? Optics Express 28 11 16554 16568 | |
dc.identifier.uri | https://hdl.handle.net/10550/74788 | |
dc.description.abstract | Recently, Fourier light field microscopy was proposed to overcome the limitations in conventional light field microscopy by placing a micro-lens array at the aperture stop of the microscope objective instead of the image plane. In this way, a collection of orthographic views from different perspectives are directly captured. When inspecting fluorescent samples, the sensitivity and noise of the sensors are a major concern and large sensor pixels are required to cope with low-light conditions, which implies under-sampling issues. In this context, we analyze the sampling patterns in Fourier light field microscopy to understand to what extent computational super-resolution can be triggered during deconvolution in order to improve the resolution of the 3D reconstruction of the imaged data. | |
dc.language.iso | eng | |
dc.relation.ispartof | Optics Express, 2020, vol. 28, num. 11, p. 16554-16568 | |
dc.subject | Òptica | |
dc.subject | Microscòpia | |
dc.subject | Imatges Processament | |
dc.title | What about computational super-resolution in fluorescence Fourier light field microscopy? | |
dc.type | journal article | es_ES |
dc.date.updated | 2020-06-01T08:31:51Z | |
dc.identifier.doi | 10.1364/OE.391189 | |
dc.identifier.idgrec | 139211 | |
dc.rights.accessRights | open access | es_ES |