Hybrid adaptive and computational light-sheet fluorescence microscopy

Conference paper (2018)

Authors

D. Wilding Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
P. Pozzi Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
O.A. Soloviev Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering , Flexible Optical B.V.
Gleb Vdovin Flexible Optical B.V., Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
Reto Fiolka University of Texas Southwestern
M.H.G. Verhaegen Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
Research Group
Team Raf Van de Plas (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2018 D. Wilding, P. Pozzi, O.A. Soloviev, Gleb Vdovin, Reto Fiolka, M.H.G. Verhaegen
DOI
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https://doi.org/10.1117/12.2287661
Microscopy Deconvolution Adaptive optics Light-sheet
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Published Date

2018

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Raf Van de Plas

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.

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