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Quantitative phase and absorption contrast imaging

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dc.affiliation.dptoUC3M. Departamento de Matemáticases
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Métodos Numéricos y Aplicacioneses
dc.affiliation.institutoUC3M. Instituto Universitario sobre Modelización y Simulación en Fluidodinámica, Nanociencia y Matemática Industrial Gregorio Millán Barbanyes
dc.contributor.authorMoscoso, Miguel
dc.contributor.authorNovikov, Alexei
dc.contributor.authorPapanicolau, George
dc.contributor.authorTsogka, Chrysoula
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es
dc.date.accessioned2023-02-24T11:35:04Z
dc.date.available2023-02-24T11:35:04Z
dc.date.issued2022-09-12
dc.description.abstractWe present an algorithm for coherent diffractive imaging with phaseless measurements. It treats the forward model as a combination of coherent and incoherent waves. The algorithm reconstructs absorption and phase contrast that quantifies the attenuation and the refraction of the waves propagating through an object. It requires coherent or partially coherent illuminations, and several detectors to record the intensity of the distorted wave that passes through the object under inspection. The diversity of illuminations, obtained by putting masks between the source and the object, provides enough information for imaging. The computational cost of our algorithm is linear in the number of pixels of the image. Therefore, it is efficient for high-resolution imaging. Our algorithm guarantees exact recovery if the image is sparse for a given basis. Numerical experiments in the setting of phaseless diffraction imaging of sparse objects validate the efficiency and the precision of the suggested algorithm.en
dc.description.sponsorshipThe work of Miguel Moscoso was supported by the Grant PID2020-115088RB-I00. The work of Alexei Novikov was supported in part by NSF under Grant DMS-1813943 and in part by AFOSR under Grant FA9550-20-1-0026. The work of Chrysoula Tsogka was supported by AFOSR under Grant FA9550-21-1-0196.en
dc.format.extent11
dc.identifier.bibliographicCitationMoscoso, M., Novikov, A., Papanicolaou, G., & Tsogka, C. (2022). Quantitative Phase and Absorption Contrast Imaging. IEEE Transactions on Computational Imaging, 8, 784-794.en
dc.identifier.doihttps://doi.org/10.1109/TCI.2022.3204401
dc.identifier.issn2573-0436
dc.identifier.publicationfirstpage784
dc.identifier.publicationlastpage794
dc.identifier.publicationtitleIEEE Transactions on Computational Imagingen
dc.identifier.publicationvolume8
dc.identifier.urihttps://hdl.handle.net/10016/36666
dc.identifier.uxxiAR/0000031867
dc.language.isoeng
dc.publisherIEEE
dc.relation.projectIDGobierno de España. PID2020-115088RB-I00es
dc.rights© 2022 IEEE.
dc.rights.accessRightsopen accessen
dc.subject.ecienciaMatemáticases
dc.subject.otherCoherent imagingen
dc.subject.otherPhase retrievalen
dc.titleQuantitative phase and absorption contrast imagingen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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