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

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

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.

Details zur Publikation

FachzeitschriftiScience
Jahrgang / Bandnr. / Volume24
Ausgabe / Heftnr. / Issue6
Artikelnummer102650
StatusVeröffentlicht
Veröffentlichungsjahr2021
DOI10.1016/j.isci.2021.102650
StichwörterOptical imaging; computational bioinformatics

Autor*innen der Universität Münster

Drees, Dominik
Professur für Praktische Informatik (Prof. Jiang)
Erapaneedi, Raghu
European Institute of Molecular Imaging (EIMI)
Jiang, Xiaoyi
Professur für Praktische Informatik (Prof. Jiang)
Kiefer, Friedemann
European Institute of Molecular Imaging (EIMI)
Kirschnick, Nils
European Institute of Molecular Imaging (EIMI)
Redder, Esther
European Institute of Molecular Imaging (EIMI)
Schäfers, Michael
Klinik für Nuklearmedizin