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Cited by 444

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

A Critical and Comparative Review of Fluorescent Tools for Live-Cell Imaging

Open access
Specht, Elizabeth A., Braselmann, Esther, Palmer, Amy E.·2017·Annual Review of Physiology

Abstract

Fluorescent tools have revolutionized our ability to probe biological dynamics, particularly at the cellular level. Fluorescent sensors have been developed on several platforms, utilizing either small-molecule dyes or fluorescent proteins, to monitor proteins, RNA, DNA, small molecules, and even cellular properties, such as pH and membrane potential. We briefly summarize the impressive history of tool development for these various applications and then discuss the most recent noteworthy developments in more detail. Particular emphasis is placed on tools suitable for single-cell analysis and especially live-cell imaging applications. Finally, we discuss prominent areas of need in future fluorescent tool development—specifically, advancing our capability to analyze and integrate the plethora of high-content data generated by fluorescence imaging.

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Crossref · 10.1146/annurev-physiol-022516-034055

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Metadata

Authors
Specht, E. A., Braselmann, E., & Palmer, A. E.
Venue
Annual Review of Physiology
Published
2017-02-10
Volume
79
Issue
1
Pages
93-117
ISSN
  • 0066-4278 (ISSN-L)
  • 1545-1585
OpenAlex
W2345179863
Cited by
444
References
9
FWCI
2.95
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A Critical and Comparative Review of Fluorescent Tools for Live-Cell Imaging. https://app.cochat.ai/papers/10.1146/annurev-physiol-022516-034055
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Specht, E. A., Braselmann, E., & Palmer, A. E. (2017). A Critical and Comparative Review of Fluorescent Tools for Live-Cell Imaging. Annual Review of Physiology. https://doi.org/10.1146/annurev-physiol-022516-034055

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.