@inproceedings{efc9bccdb8674f059d89560d06fa298b,
title = "Hybrid adaptive and computational light-sheet fluorescence microscopy",
abstract = "The light-sheet fluorescence microscopy is an excellent tool for the investigation of large three dimensional microscopy samples at the cellular level, however, the ability to resolve features is strongly affected by the presence of scattering and aberrations. These effects are two fold in light-sheet microscopy, as the illumination path providing the optical sectioning and the fluorescence detection path are both affected by the aberrations in different ways. To overcome these difficulties, we have developed hybrid adaptive optical and computational microscopy techniques to remove the effect of the aberrations in both the excitation and the fluorescence paths of these microscopes.",
keywords = "Adaptive optics, deconvolution, light-sheet, microscopy",
author = "Dean Wilding and Paolo Pozzi and Oleg Soloviev and Gleb Vdovin and Reto Fiolka and Michel Verhaegen",
year = "2018",
doi = "10.1117/12.2287661",
language = "English",
volume = "10502",
series = "Proceedings of SPIE",
publisher = "SPIE",
editor = "T.G. Bifano and J. Kubby and S. Gigan",
booktitle = "Proceedings of SPIE",
address = "United States",
note = "SPIE BIOS : Adaptive Optics and Wavefront Control for Biological Systems IV 2018 ; Conference date: 27-01-2018 Through 29-01-2018",
}