Affiliation:
1. Université de Bordeaux
2. Imagine Optic
Abstract
Lattice light-sheet microscopy (LLSM) is a very efficient technique for high resolution 3D imaging of dynamic phenomena in living biological samples. However, LLSM imaging remains limited in depth due to optical aberrations caused by sample-based refractive index mismatch. Here, we propose a simple and low-cost active image optimization (AIO) method to recover high resolution imaging inside thick biological samples. AIO is based on (1) a light-sheet autofocus step (AF) followed by (2) an adaptive optics image-based optimization. We determine the optimum AIO parameters to provide a fast, precise and robust aberration correction on biological samples. Finally, we demonstrate the performances of our approach on sub-micrometric structures in brain slices and plant roots.
Funder
Conseil Régional Aquitaine
Infrastructures en Biologie Santé et Agronomie
Association Nationale de la Recherche et de la Technologie
Institut National de la Santé et de la Recherche Médicale
H2020 European Research Council
European Research Council
Subject
Atomic and Molecular Physics, and Optics,Biotechnology
Cited by
2 articles.
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