Hybrid adaptive and computational light-sheet fluorescence microscopy
Dean Wilding (TU Delft - Team Raf Van de Plas)
Paolo Pozzi (TU Delft - Team Raf Van de Plas)
O.A. Soloviev (TU Delft - Team Raf Van de Plas, Flexible Optical B.V.)
GV Vdovine (Flexible Optical B.V., TU Delft - Team Raf Van de Plas)
Reto Fiolka (University of Texas Southwestern)
Michel Verhaegen (TU Delft - Team Raf Van de Plas)
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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.