Hybrid adaptive and computational light-sheet fluorescence microscopy

Dean Wilding; Paolo Pozzi; Oleg Soloviev; Gleb Vdovin; Reto Fiolka; Michel Verhaegen

doi:10.1117/12.2287661

23 February 2018 Hybrid adaptive and computational light-sheet fluorescence microscopy

Dean Wilding, Paolo Pozzi, Oleg Soloviev, Gleb Vdovin, Reto Fiolka, Michel Verhaegen

Proceedings Volume 10502, Adaptive Optics and Wavefront Control for Biological Systems IV; 1050212 (2018) https://doi.org/10.1117/12.2287661
Event: SPIE BiOS, 2018, San Francisco, California, United States

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.

Conference Presentation

Citation Download Citation

Dean Wilding, Paolo Pozzi, Oleg Soloviev, Gleb Vdovin, Reto Fiolka, and Michel Verhaegen "Hybrid adaptive and computational light-sheet fluorescence microscopy", Proc. SPIE 10502, Adaptive Optics and Wavefront Control for Biological Systems IV, 1050212 (23 February 2018); https://doi.org/10.1117/12.2287661

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