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Cited by 724

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Multicolor Conjugated Polymer Dots for Biological Fluorescence Imaging

Open access
Wu, Changfeng, Bull, Barbara, Szymanski, Craig, Christensen, Kenneth, McNeill, Jason·2008·ACS Nano

Abstract

Highly fluorescent conjugated polymer dots were developed for demanding applications such as fluorescence imaging in live cells. These nanoparticles exhibit small particle diameters, extraordinary fluorescence brightness, and excellent photostability. Single particle fluorescence imaging and kinetic studies indicate much higher emission rates (approximately 10(8) s(-1)) and little or no blinking of the nanoparticles as compared to typical results for single dye molecules and quantum dots. Analysis of single particle photobleaching trajectories reveals excellent photostabilityas many as 10(9) or more photons emitted per nanoparticle prior to irreversible photobleaching. The superior figures of merit of these new fluorescent probes, together with the demonstration of cellular imaging, indicate their enormous potential for demanding fluorescence-based imaging and sensing applications such as high speed super-resolution single molecule/particle tracking and highly sensitive assays.

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Crossref · 10.1021/nn800590n

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Metadata

Authors
Wu, C., Bull, B., Szymanski, C., Christensen, K., & McNeill, J.
Venue
ACS Nano
Published
2008-11-07
Volume
2
Issue
11
Pages
2415-2423
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2081364440
Cited by
724
References
2
FWCI
14.15
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Multicolor Conjugated Polymer Dots for Biological Fluorescence Imaging. https://app.cochat.ai/papers/10.1021/nn800590n
The paper
Wu, C., Bull, B., Szymanski, C., Christensen, K., & McNeill, J. (2008). Multicolor Conjugated Polymer Dots for Biological Fluorescence Imaging. ACS Nano. https://doi.org/10.1021/nn800590n

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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.