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Cubosomes for in vivo fluorescence lifetime imaging
Stefania Biffi1, Laura Andolfi2, Claudia Caltagirone3
1Institute for Maternal and Child Health-IRCCS 'Burlo Garofolo', Trieste, Italy.
Nanotechnology
|December 30, 2016
Summary
Monoolein-based cubosomes enable in vivo fluorescence imaging. This formulation provides high contrast and chemospecific information in mice, distinguishing between free and encapsulated dyes.
Area of Science:
- Biomedical imaging
- Nanotechnology
- Pharmacology
Background:
- Cubosomes are novel nanocarriers with potential in drug delivery and imaging.
- Fluorescence optical imaging offers high sensitivity for biological studies.
- Developing efficient and safe contrast agents for in vivo imaging is crucial.
Purpose of the Study:
- To demonstrate the feasibility of using monoolein-based cubosomes for in vivo fluorescence optical imaging.
- To evaluate the contrast enhancement and chemospecific capabilities of cubosomes in a living animal model.
- To assess the biodistribution and detectability of the dye within cubosomes in vivo.
Main Methods:
- Preparation and characterization of monoolein-based cubosomes.
- In vivo administration of cubosomes in a healthy mouse model.
- Time-resolved fluorescence measurements and lifetime analysis.
- Analysis of dye accumulation and distribution in major organs, particularly the liver.
Main Results:
- Monoolein-based cubosomes were successfully used for in vivo fluorescence imaging.
- The formulation provided high efficiency for exogenous contrast in near-infrared (NIR) fluorescence imaging.
- Lifetime analysis of fluorescence in vivo allowed differentiation between free dye and dye encapsulated within cubosomes.
- Rapid accumulation of cubosomes was observed primarily in the liver.
Conclusions:
- Monoolein-based cubosomes represent a promising platform for in vivo fluorescence imaging.
- The non-cytotoxic formulation offers efficient contrast enhancement and valuable chemospecific information.
- This study establishes a proof of principle for cubosome applications in biomedical imaging.

