Systematic Evaluation of Chemically Distinct Tissue Optical Clearing Techniques in Murine Lymph Nodes
Author(s) -
Paweł Matryba,
Anna Sosnowska,
Artur Wolny,
Łukasz Bożycki,
A. Greig,
Jakub Grzybowski,
Marzena Stefaniuk,
Dominika Nowis,
Jakub Gołąb
Publication year - 2020
Publication title -
the journal of immunology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.737
H-Index - 372
eISSN - 1550-6606
pISSN - 0022-1767
DOI - 10.4049/jimmunol.1900847
Subject(s) - immunostaining , light sheet fluorescence microscopy , autofluorescence , enumeration , lymph , biological system , microscopy , computer science , context (archaeology) , clearing , biomedical engineering , fluorescence , fluorescence microscope , pathology , materials science , nanotechnology , biology , optics , mathematics , medicine , physics , immunohistochemistry , paleontology , finance , combinatorics , economics
Activation of adaptive immunity is a complex process coordinated at multiple levels in both time and the three-dimensional context of reactive lymph nodes (LNs). Although microscopy-based visualization of its spatiotemporal dynamics unravels complexities of developing immune response, such approach is highly limited by light-obstructing nature of tissue components. Recently, tissue optical clearing (TOC) techniques were established to bypass this obstacle and now allow to image and quantify the entire murine organs with cellular resolution. However, the spectrum of TOC is represented by wide variety of chemically distinct methods, each having certain advantages and disadvantages that were unsatisfactorily compared for suitability to LNs clearing. In this study, we have systematically tested 13 typical TOC techniques and assessed their impact on a number of critical factors such as LN transparency, imaging depth, change in size, compatibility with proteinaceous fluorophores, immunostaining, H&E staining, and light-sheet fluorescence microscopy. Based on the detailed data specific to TOC process of murine LNs, we provide a reliable reference for most suitable methods in an application-dependent manner.
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