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Current Protocols in Cytometry
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Clearing for Deep Tissue Imaging

Authors: Michael Muntifering; Daniel Castranova; Gregory A. Gibson; Evan Meyer; Matthew Kofron; Alan M. Watson;

Clearing for Deep Tissue Imaging

Abstract

AbstractBiologic tissues are generally opaque due to optical properties that result in scattering and absorption of light. Preparation of tissues for optical microscopy often involves sectioning to a thickness of 50‐100 µm, the practical limits of light penetration and recovery. A researcher who wishes to image a whole tissue must acquire potentially hundreds of individual sections before rendering them into a three‐dimensional volume. Clearing removes strongly light‐scattering and light‐absorbing components of a tissue and equalizes the refractive index of the imaging medium to that of the tissue. After clearing, the maximum depth of imaging is often defined by the microscope optics rather than the tissue. Such visibility enables the interrogation of whole tissues and even animals without the need to section. Researchers can study a biological process in the context of its three‐dimensional environment, identify rare events in large volumes of tissues, and trace cells and cell‐cell interactions over large distances. This article describes four popular clearing protocols that are relevant to a wide variety of scenarios across biologic disciplines: CUBIC, CLARITY, 3DISCO, and SeeDB. © 2018 by John Wiley & Sons, Inc.

Keywords

Mice, Imaging, Three-Dimensional, Staining and Labeling, Decision Trees, Solvents, Animals, Fluorescence

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
47
Top 10%
Top 10%
Top 10%
bronze