Phase diversity based object estimation in light-sheet fluorescence microscopy

Dean Wilding*, Paolo Pozzi, Oleg Soloviev, Gleb Vdovin, Michel Verhaegen

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)


Light-sheet fluorescence microscopy techniques commonly use deconvolution to remove the effect of the illumination beam shape on the image formation, reducing the effects of side lobes and increasing the contrast in three-dimensional imaging. Deconvolution requires knowledge of the optical transfer function of the system and can only be estimated or measured imperfectly. Furthermore, in biological samples the optical transfer function is degraded by the presence of phase aberrations, this implies that any a priori deconvolution applied to the sample will be to some degree incorrect since it does not account for this unknown phase error in the optical transfer function. By combining adaptive optics and computational processing in this microscope, it is shown that by introducing perturbations to the optical transfer function it is possible to estimate the object distribution and remove aberrations.

Original languageEnglish
Title of host publicationProceedings of the Optics in the Life Sciences Congress "Bio-Optics: Design and Application" (BODA 2017)
Place of PublicationWashington, D.C., USA
PublisherOSA Publishing
Number of pages3
ISBN (Electronic)978-1-557528-20-9
ISBN (Print)978-1-943580-25-5
Publication statusPublished - 2017
EventBODA 2017: Bio-Optics: Design and Application - San Diego, United States
Duration: 2 Apr 20175 Apr 2017


ConferenceBODA 2017: Bio-Optics: Design and Application
Country/TerritoryUnited States
CitySan Diego


Dive into the research topics of 'Phase diversity based object estimation in light-sheet fluorescence microscopy'. Together they form a unique fingerprint.

Cite this