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Rapid methods for the evaluation of fluorescent reporters in tissue clearing and the segmentation of large vascular structures.
Kirschnick, Nils; Drees, Dominik; Redder, Esther; Erapaneedi, Raghu; Pereira da Graca, Abel; Schäfers, Michael; Jiang, Xiaoyi; Kiefer, Friedemann.
Afiliación
  • Kirschnick N; European Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
  • Drees D; Institute of Computer Science, University of Münster, Einsteinstraße 62, 48149 Münster, Germany.
  • Redder E; European Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
  • Erapaneedi R; European Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
  • Pereira da Graca A; European Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
  • Schäfers M; European Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
  • Jiang X; Institute of Computer Science, University of Münster, Einsteinstraße 62, 48149 Münster, Germany.
  • Kiefer F; European Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
iScience ; 24(6): 102650, 2021 Jun 25.
Article en En | MEDLINE | ID: mdl-34151237
ABSTRACT
Light sheet fluorescence microscopy (LSFM) of large tissue samples does not require mechanical sectioning and allows efficient visualization of spatially complex or rare structures. Therefore, LSFM has become invaluable in developmental and biomedical research. Because sample size may limit whole-mount staining, LSFM benefits from transgenic reporter organisms expressing fluorescent proteins (FPs) and, however, requires optical clearing and computational data visualization and analysis. The former often interferes with FPs, while the latter requires massive computing resources. Here, we describe 3D-polymerized cell dispersions, a rapid and straightforward method, based on recombinant FP expression in freely selectable tester cells, to evaluate and compare fluorescence retention in different tissue-clearing protocols. For the analysis of large LSFM data, which usually requires huge computing resources, we introduce a refined, interactive, hierarchical random walker approach that is capable of efficient segmentation of the vasculature in data sets even on a consumer grade PC.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: IScience Año: 2021 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: IScience Año: 2021 Tipo del documento: Article País de afiliación: Alemania