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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Conference object . 2026
License: CC BY
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Article . 2026
License: CC BY
Data sources: Datacite
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Article . 2026
License: CC BY
Data sources: Datacite
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Towards tracing lipid-nanoparticle intracellular trafficking in cancer cells by confocal Raman microscopy (Conference Abstract)

Authors: Batista, Ana; Nikitin, Timur; Lopes-Cardoso, Hugo; Voronovska, Anastasiya; Panão Costa, João; Amaral, Ana; Moreira, João Nuno;

Towards tracing lipid-nanoparticle intracellular trafficking in cancer cells by confocal Raman microscopy (Conference Abstract)

Abstract

Lipid nanoparticles (LNPs) can enhance the efficacy of mRNA-based cancer therapy by increasing bioavailability upon preserving mRNA integrity and stability until they reach their intended targets. However, the success and safety of LNPs is largely dependent on their intracellular trafficking. Confocal Raman microscopy (CRM) offers insights into the unique spectral fingerprint of samples with subcellular resolution and can shed light on the cell uptake and transport of LNPs. In this preliminary study, we investigate the potential of this imaging modality to track LNPs in live cancer cells. 

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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!
0
Average
Average
Average
Related to Research communities
Cancer Research
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