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3D deconvolution in Fourier integral microscopy

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3D deconvolution in Fourier integral microscopy

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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	2020-06-01T09:00:01Z
dc.date.available	2020-06-01T09:00:01Z
dc.date.issued	2020
dc.identifier.citation	Stefanoiu, Anca Scrofani, G. Saavedra Tortosa, Genaro Martínez Corral, Manuel Lasser, Tobias 2020 3D deconvolution in Fourier integral microscopy Proceedings of the SPIE 11396 113960I-1 113960I-8
dc.identifier.uri	https://hdl.handle.net/10550/74790
dc.description.abstract	Fourier integral microscopy (FiMic), also referred to as Fourier light field microscopy (FLFM) in the literature, was recently proposed as an alternative to conventional light field microscopy (LFM). FiMic is designed to overcome the non-uniform lateral resolution limitation specific to LFM. By inserting a micro-lens array at the aperture stop of the microscope objective, the Fourier integral microscope directly captures in a single-shot a series of orthographic views of the scene from different viewpoints. We propose an algorithm for the deconvolution of FiMic data by combining the well known Maximum Likelihood Expectation (MLEM) method with total variation (TV) regularization to cope with noise amplification in conventional Richardson-Lucy deconvolution.
dc.language.iso	eng
dc.relation.ispartof	Proceedings of the SPIE, 2020, vol. 11396, p. 113960I-1-113960I-8
dc.subject	Microscòpia
dc.subject	Imatges Processament
dc.title	3D deconvolution in Fourier integral microscopy
dc.type	journal article	es_ES
dc.date.updated	2020-06-01T09:00:01Z
dc.identifier.doi	10.1117/12.2558516
dc.identifier.idgrec	139222
dc.rights.accessRights	open access	es_ES