Literature DB >> 32637245

Fast multi-directional DSLM for confocal detection without striping artifacts.

Pietro Ricci1,2, Giuseppe Sancataldo1,3, Vladislav Gavryusev1,2, Alessandra Franceschini1,4, Marie Caroline Müllenbroich5, Ludovico Silvestri1,2,4, Francesco Saverio Pavone1,2,4.   

Abstract

In recent years light-sheet fluorescence microscopy (LSFM) has become a cornerstone technology for neuroscience, improving the quality and capabilities of 3D imaging. By selectively illuminating a single plane, it provides intrinsic optical sectioning and fast image recording, while minimizing out of focus fluorescence background, sample photo-damage and photo-bleaching. However, images acquired with LSFM are often affected by light absorption or scattering effects, leading to un-even illumination and striping artifacts. In this work we present an optical solution to this problem, via fast multi-directional illumination of the sample, based on an acousto-optical deflector (AOD). We demonstrate that this pivoting system is compatible with confocal detection in digital scanned laser light-sheet fluorescence microscopy (DSLM) by using a pivoted elliptical-Gaussian beam. We tested its performance by acquiring signals emitted by specific fluorophores in several mouse brain areas, comparing the pivoting beam illumination and a traditional static one, measuring the point spread function response and quantifying the striping reduction. We observed real-time shadow suppression, while preserving the advantages of confocal detection for image contrast.
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Entities:  

Year:  2020        PMID: 32637245      PMCID: PMC7316030          DOI: 10.1364/BOE.390916

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  5 in total

1.  Elimination of stripe artifacts in light sheet fluorescence microscopy using an attention-based residual neural network.

Authors:  Zechen Wei; Xiangjun Wu; Wei Tong; Suhui Zhang; Xin Yang; Jie Tian; Hui Hui
Journal:  Biomed Opt Express       Date:  2022-02-07       Impact factor: 3.732

2.  Comparison of Different Tissue Clearing Methods for Three-Dimensional Reconstruction of Human Brain Cellular Anatomy Using Advanced Imaging Techniques.

Authors:  Marina Scardigli; Luca Pesce; Niamh Brady; Giacomo Mazzamuto; Vladislav Gavryusev; Ludovico Silvestri; Patrick R Hof; Christophe Destrieux; Irene Costantini; Francesco S Pavone
Journal:  Front Neuroanat       Date:  2021-11-11       Impact factor: 3.856

Review 3.  Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets.

Authors:  Anuradha Kar; Manuel Petit; Yassin Refahi; Guillaume Cerutti; Christophe Godin; Jan Traas
Journal:  PLoS Comput Biol       Date:  2022-04-14       Impact factor: 4.779

4.  3D molecular phenotyping of cleared human brain tissues with light-sheet fluorescence microscopy.

Authors:  Luca Pesce; Marina Scardigli; Vladislav Gavryusev; Annunziatina Laurino; Giacomo Mazzamuto; Niamh Brady; Giuseppe Sancataldo; Ludovico Silvestri; Christophe Destrieux; Patrick R Hof; Irene Costantini; Francesco S Pavone
Journal:  Commun Biol       Date:  2022-05-12

5.  Identification of microplastics using 4-dimethylamino-4'-nitrostilbene solvatochromic fluorescence.

Authors:  Giuseppe Sancataldo; Vittorio Ferrara; Francesco Paolo Bonomo; Delia Francesca Chillura Martino; Mariano Licciardi; Bruno Giuseppe Pignataro; Valeria Vetri
Journal:  Microsc Res Tech       Date:  2021-05-28       Impact factor: 2.893

  5 in total

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